Yale Postdoctoral Positions
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Thank you for investigating postdoctoral opportunities at Yale. Many faculty do not advertise open positions in their research groups, and you are encouraged to contact them directly to inquire about the possibility of training with them. Other faculty advertise open positions in scholarly journals in their fields. Finally, some post job openings on the Provost’s Office Academic Job listings and our website, listed below. Please click the links below to read more about each position and to find contact information for applying for the job.
Once you find a postdoctoral position your Yale department will contact you to begin the formal hiring process and to assist you in applying for an immigration visa to enter the United States if you require one. Information about the visa process may be found at the Yale Office of International Students and Scholars website.
Postdoctoral Appointees Compensation and Benefits.
Guidance from the Office of Career Strategy on resumes and CVs.
COVID-19 information and vaccination policy.
The Israelow lab (https://medicine.yale.edu/profile/benjamin_goldman-israelow/) is seeking a motivated postdoc interested in studying mucosal immunity and mucosal vaccines, and novel vaccine platform development for respiratory and non-respiratory pathogens.
The Israelow lab has recently opened in the Department of Internal Medicine in the Section of Infectious Diseases at the Yale School of Medicine. We study mucosal adaptive immune responses within the respiratory track to infections, and how to combat pathogens with novel mucosal vaccination strategies. We use immunology, vaccinology, molecular virology, mRNA vaccines, and animal models of infection and disease in the BSL2 and BSL3 labs. We are interested in identifying the signals that promote lasting and potent immune memory within the respiratory tract, and we will leverage this knowledge to develop the next generation of respiratory mucosal vaccines that better prevent disease and pathogen transmission.
Qualified applicants will have a Ph.D. in immunology, vaccinology, or microbiology, with hands-on experience with flowcytometry and animal handling. Experience with cloning and protein purification is a plus. Candidates should be highly organized, self-motivated, hard-working, and reliable, with good interpersonal and communication skills. Candidates must have good attention to detail and problem-solving skills and be able to perform both independently as well as in a team setting. We prioritize mentorship, including frequent formal and informal meetings with the PI, the substance of which will be guided by professional and scientific goals.
Projects include but are not limited to: (1) Developing next-generation respiratory mucosal vaccines, (2) Exploring the role of innate signals in directing adaptive mucosal immune responses to respiratory viruses and vaccines, (3) Understanding how adaptive immunity controls respiratory virus transmission. (4) Improving pan-coronavirus mucosal vaccines, and (5) Improving mRNA based vaccine platforms.
Interested candidates should email Benjamin Goldman-Israelow (benjamin.goldman-israelow@yale.edu) a cover letter that briefly describes their research/scientific background and interest in the position; their CV; and 3 references.
Position: Postdoctoral Associate - Clinical Andrology Laboratory
Location: Yale Fertility Center – West Campus (Orange, CT)
Overview: We are seeking a highly motivated and skilled Postdoctoral Associate to join our Clinical Andrology Laboratory. The successful candidate will primarily engage in clinical work while also possessing a solid understanding of advanced molecular techniques. This position offers an excellent opportunity to contribute to clinical diagnostics and translational research in the field of andrology.
Qualifications:
- PhD in Andrology, Reproductive Biology, Molecular Biology, or a related field.
- Strong background in clinical laboratory techniques related to Andrology, with a demonstrated ability to perform advanced & extended semen analysis techniques, sperm function assays, testicular tissue processing & cryopreservation.
- Proficiency in advanced molecular techniques, including Flow cytometry, and gene expression analysis.
- Experience in designing and executing research projects independently, with a track record of publications in peer-reviewed journals.
- Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary research environment.
- Ability to mentor and train junior team members in both clinical and molecular techniques.
- Commitment to maintaining high standards of laboratory safety and regulatory compliance.
- Experience with grant writing and securing external funding is desirable but not required.
Please send cover letter and CV to Colleen Goble, Associate Director of Faculty Affairs (colleen.goble@yale.edu).
POSTDOC POSITION, YALE UNIVERSITY SCHOOL OF MEDICINE, DIVISION OF HUMAN GENETICS IN PSYCHIATRY
For a highly motivated graduate student to join a productive research group, the Gelernter Lab, working on the genetics of psychiatric illness – especially posttraumatic stress disorder (PTSD), depression, anxiety, substance use disorders, and related traits. Work will focus on (a) genetics of posttraumatic stress disorder, suicidality, substance use disorders, depression and anxiety, and many related psychiatric traits. We have work based in the uniquely-informative Million Veteran Program dataset, and also make use of many other datasets, including our own Yale-Penn sample, Thai sample, and other samples; (b) Psychiatric Genomics Consortium projects focusing on substance use disorder genetics but also including depression and anxiety genetics and other PGC-included traits, and (c) studies in non-European populations to increase our understanding of genetics of psychiatric traits in diverse populations. Projects include NIDA-funded studies on methamphetamine genetics in Thailand; a training project in collaboration with several Thai institutions; a VA-funded, Million Veteran Program-affiliated project in the genetics of PTSD and related traits; studies of epigenetics of psychiatric traits; and studies of whole genome sequence in psychiatric traits. A NIDA-fudned study concentrates on cannabis use genetics and PRS prediction of response to THC in a laboratory paradigm, and a newly-funded NIMH study focuses on depression and anxiety genetics on large biobank samples. Through these and several other current projects, we have access to large datasets including the Million Veteran Program and the Psychiatric Genomics Consortium. The ideal candidate should hold an MD or PhD, and have a strong background in human genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis; and comfort with bioinformatics. The candidate should also be able to work cooperatively with peers at Yale and with many other collaborators nationally and internationally; and be able to bring research to publication. Our highly collaborative research division faculty includes Dr Gelernter, and also Drs Renato Polimanti, Daniel Levey, Janitza Montalvo-Ortiz, Hang Zhou, and Joseph Deak (all prior Gelernter Lab trainees). Start date is flexible. Applicants should preferably have US citizenship or permanent residency. Please send application (including CV and contact information for at least three references) by email to Prof. Joel Gelernter at joel.gelernter@yale.edu.
More information about our work is available at the lab website, https://medicine.yale.edu/lab/gelernter.
Yale University is an Affirmative Action/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans, and members of minority groups.
The Ishizuka / Olino Lab at Yale Cancer Center seeks creative and driven scientists to lead projects within the Lab. The candidate should have a strong background in biology, with a strong interest in immunology and / or cancer biology research and the development of new cancer therapies. Experience with in vivo immunotherapy models, mRNA therapeutics, functional genomics and the use of CRISPR, protein engineering, systems immunology, and tumor microenvironment profiling by scRNAseq / flow cytometry are preferred. The ideal candidate will be self-motivated and driven to develop new treatments for patients and insights into disease. They will additionally possess excellent experimental planning and execution skills, good communications skills, an open mind and a desire to collaborate with others. You will lead independent research projects, report progress and track deliverables, work to develop new approaches and ways of thinking about the field of tumor immunology, contribute to the lab through teamwork and discussion and help to train, supervise and mentor junior staff as needed. Minimum qualifications include:
- PhD in a relevant field (biology, immunology, cancer biology or similar)
- Demonstrated scientific contributions to the field
- Proven ability to solve challenging technical problems
- Clarity of thought in communications (written and oral)
If you are interested in applying, please email your CV and a cover letter with contact information for three references to: jeffishizukalab@gmail.com
Postdoctoral Associate Position in Epidemiology of Microbial Diseases
Position Description
The lab of Dr. Colin Carlson (Epidemiology of Microbial Diseases / Yale Center on Climate Change and Health) is recruiting a Postdoctoral Associate to conduct research on the relationship between global environmental change and infectious disease epidemiology, with a focus on zoonotic and vector-borne diseases.
This position exists as part of the Verena project, an NSF Biology Integration Institute based with the Carlson Lab at Yale. Verena is an international and interdisciplinary collaborative network of researchers with expertise in virology, ecology, and computational biology, working together to develop better (and more biology-driven) quantitative models that can anticipate future risks from emerging infectious diseases. The postdoc will participate in both the Carlson Lab and the Verena program, joining a network led primarily by early career scientists, with over two dozen active trainees.
We are looking for a fellow to conduct research related to the mission of the Verena program. A successful candidate may propose their own research and/or bring existing projects with them, provided they relate broadly to quantitative models of host-virus interactions and viral emergence; they could also develop work in one of these areas:
Geographic range shifts: Species are on the move – and bringing pathogens with them. We’re interested in using open biodiversity datasets to measure historical and present-day geographic range shifts in the arthropod vectors (e.g., ticks, mosquitoes) or vertebrate (e.g., bats) reservoirs of emerging infections; testing hypotheses about the role of climate change; and inferring potential impacts on disease transmission.
Causal inference in ecoepidemiology: A growing proportion of the global burden of disease is the result of human influence on ecosystems and the climate. We’re interested in developing statistical analyses that can estimate the specific contribution of climate and land use change to the burden of zoonotic and vector-borne diseases, with a focus on emerging viruses. We’re also interested in modeling vaccination and other control strategies, and translating these into policy-relevant recommendations.
Mosquito-arbovirus interactions: We’re interested in identifying evolutionary and ecological correlates of vector competence, using machine learning models, annotated mosquito and flavivirus genomes, and a new database compiled from published vector competence experiments. This work will be conducted in close collaboration with the lab of Dr. Gregory Ebel at Colorado State University, who will test predictions and potentially generate transcriptomic and proteomic datasets on mosquito innate immunity.
Literature annotation and disease surveillance: Very little wildlife disease data is currently deposited in FAIR databases. As a result, it is nearly impossible to describe sampling gaps, including those with direct relevance to public health and outbreak risk assessment. We’re interested in borrowing methods from climate science for machine learning classification of scientific literature and using these models to map global research effort in disease ecology and pathogen discovery. This work will be conducted in close collaboration with the lab of Dr. Timothée Poisot at the University of Montreal.
Qualifications
The ideal candidate should have a Ph.D. in epidemiology, ecology, or a related field, and significant experience with statistical analysis and modeling. A strong candidate will be comfortable with R and/or other scientific programming languages (e.g., Python, Julia). Depending on the project, a strong candidate could also have experience with:
- Climate models and climate data, including methods from attribution science
- Genomic data, including genome annotation, and other multi-omic datasets
- Biodiversity data (e.g., GBIF)
- Geospatial models (e.g., R-INLA)
- Machine learning (primarily classification and regression tree models)
- Large language models used in research applications (e.g., BERT)
- Open science platforms (e.g., Github) and best practices
- Software development (e.g., R packages)
Compensation & Benefits:
Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs/salaries-taxes.
Application
Please apply online: http://apply.interfolio.com/153039
Interested candidates should submit a cover letter, CV, and contact information for 3 professional references. The cover letter should address areas of interest and prior experience, as well as at least two recent publications or preprints from the lab that are most closely aligned with the candidate’s interests.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Research in the Konnikova group is directed at studying early life immune development, and host-microbiome interactions. We are interested in understanding how homeostasis is established and maintained in humans and what goes awry to cause disease. We are seeking to understand how factors driving immune development and regulation are different in term and preterm infants with the goal of defining novel and tractable pathways mediating long-term health.
We are seeking a motivated and dynamic postdoctoral candidate with a solid bioinformatics foundation to join our team who is interested in applying system’s biology cutting edge techniques including imagining and suspension mass cytometry and single cell RNA sequencing in combination with organoid approaches to study early life immunity. My group has access to the CyTOF and genomics cores at Yale as well as state-of-the-art cell and molecular imaging facilities. During this time, the successful applicant will obtain further training in translational research, in vivo model systems and a range of immunological techniques.
The candidate will be expected to have an MD, PhD, or MD/PhD with experience in immunology and bioinformatics. Preference to candidates with involvement in human systems immunology will be given, but it is not a requirement. The successful candidate will be self-motivated and have the capacity for independent evaluation of the literature. Prior knowledge in primary cell isolation, flow cytometry, imaging techniques and single cell techniques would be an added benefit. For more information on our group, please visit our website – www.konnikovalab.com.
Interested applicants should send a brief statement of interest and curriculum vitae with contact information for three references to the Principal Investigator, Dr. Liza Konnikova – liza.konnikova@yale.edu.
Postdoctoral Associate Position in Wildlife Disease Ecology and AI at Yale University
A postdoctoral position is available to study AI-enabled disease detection in wildlife at Yale University. This position is part of a collaborative project between Yale, the Smithsonian’s Movement of Life Initiative, and Microsoft AI for Good. The position will be based in the laboratory of Dr. Vanessa Ezenwa in the Department of Ecology and Evolutionary Biology (https://ezenwalab.yale.edu/), and the postdoc will lead efforts to develop, test, and validate a machine learning-based pipeline for identifying and extracting data on large mammals from high-resolution satellite imagery. The candidate will use this information to examine links between the spatial organization of large mammal aggregations and disease prevalence. The ultimate goal of the project is to understand how high-resolution imagery can be used for disease surveillance in wildlife.
The salary is $68,000 with benefits. Funding is available for up to two years, depending on annual performance evaluations. The proposed start date is negotiable but could be as early as December 1, 2024.
Qualifications
Candidates must have a PhD (by the start date) in ecology and evolutionary biology, computer science, geography, or a related field. The ideal candidate will have demonstrated experience in machine learning (e.g., object detection), GIS/remote sensing, excellent written and oral communication skills, an established record of peer-reviewed publications, the ability to work both independently and as part of a team, and an interest in applying their skills to the study of infectious diseases.
Application Instructions
Interested candidates should submit the following documents by September 30, 2024 for full consideration. Applications submitted after September 30th will be reviewed on a rolling basis until the position is filled.
(1) Cover letter describing your research background and how it relates to this position, key research accomplishments, interests, career goals, and specific motivation for the position (2 pages maximum)
(2) Current Curriculum Vitae (CV)
(3) Contact information for 3 references
(4) One example publication that demonstrates your skills
Applications should be submitted online at http://apply.interfolio.com/152611. For questions about the position, contact Vanessa Ezenwa (vanessa.ezenwa@yale.edu).
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Postdoctoral Fellow Opening at Yale School of Medicine, Department of Psychiatry, Program for Recovery and Community Health. The Yale School of Medicine, Department of Psychiatry, Program for Recovery and Community Health is recruiting one postdoctoral fellow for a two-year appointment beginning October 1st, 2024. The fellowship provides focused research training in competitive and integrated employment for people with psychiatric disabilities.
To ensure we provide the highest quality research training, we have designed our program to include the following combination of didactic, experiential, practical, and individualized components. Each postdoc will:
- Receive training in recovery-oriented practice and participatory, community-engaged research, highlighting in particular the role of competitive employment as a central pathway to recovery;
- acquire hands-on research experience by being offered choices of engaging as a collaborator in ongoing research projects;
- develop, conduct, and complete their own independent research project under the close supervision and mentorship of senior faculty; and
- have access to the full range of elective lectures, seminars, discussion groups, and social support offered by the Postdoctoral Affairs Office of the Yale School of Medicine and the Yale Center for Clinical Investigation.
To be eligible to apply, prospective postdoctoral candidates must hold a doctoral degree or equivalent at the time of appointment. All trainees will be required to pursue research training full-time. Applications of persons with a disability and/or part of an under-represented minority population are encouraged. To apply, please send a single PDF documenting the following to mark.costa@yale.edu
1) Cover letter detailing previous research experience, interests, and career goals; 2) CV; 3) Names and contact information of three academic references.
Enrollment for this position will close soon. Please apply by August 27, 2024, to be eligible to compete for this position.
Yale University is an Affirmative Action/Equal Opportunity Employer and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
Yale School of Medicine, Department of Cellular & Molecular Physiology
We study how ion channels and membrane receptors regulate signaling in gametes and fertilization process (www.jeanjuchunglab.org)<http://www.jeanjuchunglab.org)/>. We combine genetic manipulation and protein engineering of ion channel/membrane receptor function with cellular and mouse models using insights from human genetics and evolution.
We are expanding our research team and seek highly motivated and independent postdoctoral candidates with an inquisitive nature and a quantitative mind in two areas. Prospective applicants must have a background in ion channels and membrane receptors and/or drug discovery with hands-on experience and technical expertise in (1) protein biochemistry and structural biology or (2) electrophysiology. Actively recruiting for current NIH funded projects (basic and translational research on the CatSper channel and sperm physiology) through 2029.
As a postdoctoral trainee in the Chung lab, you will learn techniques in the lab and/or in collaboration: mouse and human genetics, proteomics, comparative genomics, advanced imaging technologies including super-resolution and electron microscopy.
To apply, please send a single PDF file to Jean-Ju Chung at jean-ju.chung@yale.edu containing (1) a brief cover letter outlining research interests and career goals, (2) curriculum vitae, and (3) a list of three references with contact information.
Postdoc Position (Meyer lab) - Systems Biology Institute and Molecular, Cellular, and Developmental Biology Department, Yale University
The Kirstin Meyer lab is part of the Department of Molecular, Cellular and Developmental Biology, and the Systems Biology Institute at Yale University. We are seeking a passionate, creative, and open-minded postdoc to join us to work on understanding principles of gene regulation and embryonic development. As the Meyer Lab is newly established, this is a unique opportunity to contribute to building a dynamic lab environment.
We seek to understand the molecular logic of cellular decision making in the context of embryonic development. We are interested in gene regulation and the role of signaling dynamics, and chromatin mechanics/biophysics in sensing, processing, and memorizing information. To study this, we synthetically control signaling nodes and combine this approach with imaging-based readouts to record information flow at molecular resolution. To this end, we use advanced imaging approaches (light-sheet single-molecule imaging), optogenetics, synthetic biology tools, and CRISPR/Cas9-gene editing of mouse embryonic stem cells.
Representative publications:
Meyer K, Lammers NC, Bugaj LJ, Garcia, HG, Weiner OD. (2023) Optogenetic control of YAP reveals a dynamic communication code for stem cell fate and proliferation. Nature Communications, 14(1): 6929, PMCID: PMC10616176
Meyer K, Yserentant K, Cheloor-Kovilakam R, Ruff KM, Chung C, Shu X, Huang B, Weiner OD. (2024) YAP charge patterning mediates signal integration through transcriptional co-condensates. bioRxiv, doi: 10.1101/2024.08.10.607443.
Qualifications: Applicants should hold a PhD in Biological Sciences or a related field (e.g. Bioengineering, Biophysics).
The position is available immediately and available until filled.
Application Instructions: Interested applicants should email a cover letter describing their research experience and future goals, a CV, and the names and contact information of three references to: kirstin.meyer@yale.edu.
Postdoctoral Opportunity – Kim Lab – Yale School of Medicine
The Kim lab at the Yale School of Medicine Department of Urology is seeking a highly qualified and passionate scientist to embark on state-of-the-art translational cancer research projects associated with the generation of cancer models, genomic analysis and the search for novel therapeutics. This work takes place amid a highly collaborative team of researchers and clinicians, at the interface of basic science and cancer medicine, with the common goal of bringing precision cancer medicine closer to patients and families.
Qualifications:
Applicants must hold a Ph.D., and have strong analytical skills, significant experience and an excellent track record of publications in the areas of:
- Functional and Structural Cancer Genomics
- Computational and Systems Biology & Bioinformatics
- Genetically Engineered Murine Models of Cancer
- Cancer Biology & Biochemistry
- Cancer Pharmacology and Therapeutics
Compensation & Benefits:
Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs. Eligible scholars are welcome to bring their own source of funding (e.g., fellowship). Personal funds are not acceptable.
Apply:
To apply to this unique opportunity please contact Dr. William Kim (William.kim@yale.edu). Please provide a C.V. and three letters of recommendation.
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
Computational Postdoctoral Position – Mechanism-Informed Machine Learning for Cancer Biology – Stites Laboratory
The Stites lab is building a research program in mechanism informed machine learning for cancer biology. This program builds on the PI’s and the laboratory’s >15 year history of developing mathematical models that relate fundamental features of biochemical networks to non-obvious, observable, system behaviors (i.e., Stites EC et al, Science, 2007; Hu J et al, Cell, 2013; Stites EC et al, Cell Reports, 2015; Stites EC et al, Biophysical Journal, 2015; McFall T et al, Science Signaling, 2019; McFall T et al, Cell Reports, 2021; Mendiratta G and Stites EC, eLife, 2023, Trogdon et al, 2024). We anticipate that our experiences thinking deeply and mathematically about the mechanistic relationships between biochemical foundations and cellular phenotypes has us very well prepared to integrate mechanistic modeling with artificial intelligence.
The lab would like to hire a postdoctoral fellow to join the ongoing efforts.
Candidates for computational postdoctoral positions should be mathematically and/or computationally sophisticated and should have strong technical abilities in mathematics and/or computer science. Candidates also need to be willing to read the experimental biology literature to be able to better understand (and better incorporate) biological priors. (The laboratory understands that candidates entering biology from other fields, and/or candidates who were previously highly computational may need time and/or training to be comfortable with the experimental biology literature.)
Additional information about the laboratory, research interests, completed research projects, and the excellent career trajectories of previous postdoctoral fellows and lab members is available on the laboratory website: https://www.stiteslab.org/
Interested candidates should send contact Ed Stites, MD, PhD at research@stiteslab.org and include (1) CV, (2) a statement that highlights how the candidate meets the requirements for the position, and (3) a statement that describes the candidate’s interests and goals.
Experimental Postdoctoral Position - Synthetic Biology for the RAS Pathway – Stites Laboratory
The Stites lab has extensive experience investigating the RAS pathway and its role in cancer. We have found the application of systems biology approaches to problems in RAS and cancer biology very productive, i.e., Stites EC et al, Science, 2007; Hu J et al, Cell, 2013; Stites EC et al, Cell Reports, 2015; McFall T et al, Science Signaling, 2019; McFall T et al, Cell Reports, 2021; Mendiratta G and Stites EC, eLife, 2023, Trogdon et al, 2024).
We have begun to integrate synthetic biology approaches and concepts into our experimental work. Our pilot experimental and computational studies have laid strong foundations for several studies that will apply synthetic biology methodology to alter the functions of the RAS pathway and its role in cancer. The laboratory is now looking for an experimental postdoctoral fellow to take the lead in expanding one or more of these projects. .
The ideal candidate will have strong and extensive experience with cell signaling, cancer biology, experimental troubleshooting, and systems thinking. The ideal candidate will also Candidates should also be comfortable working in a collaborative environment that includes other experimental biologists as well as purely computational/mathematical scientists. The ideal candidate will both enjoy the challenge of and be capable of bringing new ideas and new methods to the project.
Requirements for the position include a doctoral degree, one or more first author research publications demonstrating sophisticated problem solving and scientific reasoning, a history of high-quality productivity, and a strong desire to take the lead on one or more major research projects in partnership with the laboratory PI.
Additional information about the laboratory, research interests, completed research projects, and the excellent career trajectories of previous postdoctoral fellows and lab members is available on the laboratory website: https://www.stiteslab.org/
Interested candidates should send contact Ed Stites, MD, PhD at research@stiteslab.org and include (1) CV, (2) a statement that highlights how the candidate meets the requirements for the position, and (3) a statement that describes the candidate’s interests and goals.
Postdoctoral Position in Interdisciplinary Youth Suicide Research
Background
The Cha Lab, led by Dr. Christine Cha and based at Yale School of Medicine, harnesses interdisciplinary research to improve assessment and prevention of youth suicide. Established nearly a decade ago at Columbia University (as ‘Laboratory for Clinical and Developmental Studies’), the Cha Lab will be launching its inaugural year at Yale in September 2024 in dual affiliation with the Yale Child Study Center and the Yale Center for Brain and Mind Health (CBMH). Originally rooted in clinical psychological science, the Cha Lab strives to embody the mission of CBMH: “to bridge existing departments, levels of analysis, and disciplinary boundaries and focus on areas of clinical and translational neuroscience that are broader than any single condition.” Pilot data collection will harness varying methodologies ranging from ecological momentary assessment (EMA) and behavioral measures to neuroimaging and psychophysiology among suicidal youth and their parents/guardians.
Position Description
The Cha Lab is seeking a postdoctoral associate to conduct interdisciplinary research pertaining to youth suicide. The postdoctoral associate will work closely with Dr. Christine Cha as their primary research mentor. While honing their expertise in youth suicide across in the Cha lab, the postdoctoral associate will be expected to establish a radically innovative line of research pertaining to youth suicide and engage in data collection, data analysis, manuscript preparation, grantwriting, as well as training and co-supervision of Cha Lab research staff. Beyond regular meetings pertaining to research projects, Dr. Cha will meet weekly with the postdoctoral associate to focus on their professional development. The postdoctoral associate will be encouraged to attend seminars/events affiliated with the Yale Child Study Center (e.g., Grand Rounds) and Yale Center for Brain and Mind Health (e.g., Research Symposia). Salary is $68,000/year + benefits.
A minimum 1-year commitment is expected, with funding available for up to 2 additional years. An additional $5,000 professional development/research fund will be provided by the lab.
Minimum Qualifications
- Doctorate degree (e.g., PhD, MD) in any discipline that could be applied to advance understanding and prevention of youth suicide. Novel intersections with other disciplines are strongly encouraged.
- Eagerness to gain expertise in youth suicide risk assessment and management
- Exceptional research skills (scientific writing, data analysis, data management, attention to detail)
Preferred Qualifications
- Experience with clinical care settings
- Experience working with children and adolescents
Process to Apply
To apply, interested individuals should submit a cover letter, CV, 2 sample publications, and contact information for 3 references directly to Dr. Cha (christine.cha@yale.edu) with the subject line “Cha Lab – PostDOC Application” in the subject line. The cover letter should include a description of interdisciplinary fit with youth suicide research and ideal duration of commitment. Applications are requested by August 15, 2024, with an intended start date of October 1, 2024. Applications will be evaluated as they are received; under special circumstances, evaluations received past this deadline may be considered.
Yale University is an Affirmative Action / Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Postdoctoral Position - Yale School of Medicine - Department of Emergency Medicine
The Data Mining (DM) Lab at Yale University lead by Dr. Samah Fodeh has an opening for a postdoctoral researcher to participate in a series of projects that focus on leveraging healthcare data to improve patient care. The work spans work with structured and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a leader in healthcare data science and innovation.
Under the direction of the Principal Investigator, the ideal candidate is expected to lead several efforts, including working with the team to develop, discover and apply novel machine learning/natural language processing/deep learning applications to healthcare. They will also lead or assist drafting analytical sections for peer-review publication for various project. Responsibilities will also include participating in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team.
While programming experience with python and/or R is required, experience with one or more of the following skills will be an asset. However, if the individual is willing to learn these skills, there are opportunities to learn them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision and signal processing in Tensorflow or PyTorch, Llama and GPT models.
Essential Duties
Develop and execute new and/or highly complex algorithms and predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.
Required Education and Experience
PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years of demonstrated experience or an equivalent combination of education and demonstrated experience.
Required Skill/Ability 1:
Demonstrated expertise working with Linux, Python, and Java.
Required Skill/Ability 2:
Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models.
Required Skill/Ability 3:
Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images.
Required Skill/Ability 4:
Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.
Required Skill/Ability 5:
Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.
Please email samah.fodeh@yale.edu if interested.
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
Postdoctoral Associate in the Epidemiology of Aging and Disability
Department: Department of Medicine (Geriatrics), Yale School of Medicine
Position Description: The Center on Disability and Disabling Disorders at Yale University offers a 2-year postdoctoral fellowship in the Epidemiology of Aging and Disability. This experience provides fellows with the opportunity to address fundamental issues related to the epidemiology and prevention of disability among older persons; train with mentors who are experts in the epidemiology of disability; and produce high impact research papers that will help them establish a successful research career.
The Center, under the leadership of Dr. Thomas Gill, conducts longitudinal studies and clinical trials to enhance the scientific knowledge base of the disablement process in older persons and to rigorously evaluate promising intervention strategies. The Center works closely with the superb Resource Cores of the Yale Program on Aging (Biostatistics and Operations) and has access to data from several large NIH-sponsored studies, including (among others) the Precipitating Events Project (PEP Study) and National Health and Aging Trends Study (NHATS). Current NIH-funded research is focusing intently on distressing symptoms, functional outcomes, serious health events such as major surgery, end of life, disadvantaged older populations, and health disparities.
Ample training opportunities are available through the Yale Program on Aging/Pepper Center, Investigative Medicine Program, and School of Public Health.
Responsibilities:
- Conduct advanced statistical analysis of longitudinal datasets.
- Lead and assist in designing, conducting, and interpreting epidemiological aging research.
- Publish findings in high-impact journals and present results at national and international conferences.
- Collaborate with an interdisciplinary team of researchers and contribute to grant writing and project management.
Qualifications:
- PhD in epidemiology, demography, biostatistics, or a related field, although those in the final stages of their PhD are also eligible to apply.
- Expertise in statistical programming, including SAS, is highly desirable.
- Demonstrated publication record and strong scientific writing skills.
- Excellent English, both written and spoken, and strong communication skills.
- Strong problem-solving and critical-thinking skills.
- Good time management and organizational skills.
- Ability to work independently and take initiative.
Term and Compensation:
- The position is available for two years, based on satisfactory performance, with the possibility of renewal for an additional year.
- The position offers a competitive salary, benefits package, and access to university resources.
How to Apply: Interested candidates should submit: (1) a cover letter describing specific interest in the fellowship and highlighting relevant skills and experience; (2) CV; and (3) contact information for three references to Ms. Robbin Bonanno at robbin.bonanno@yale.edu. Applications will be reviewed on a rolling basis until the position is filled.
Yale University is an Equal Opportunity Employer. We value diversity and inclusivity and encourage all qualified individuals to apply.
Postdoctoral Associate -Mu Lab -Yale School of Medicine
Postdoctoral Position Available in Molecular Mechanisms and Translational Research in Prostate Cancer
The Mu Laboratory in the Department of Urology at Yale School of Medicine is seeking a dynamic and motivated Postdoctoral Associate to join our cutting-edge research team. Our lab is dedicated to uncovering the molecular mechanisms that drive resistance to targeted and immune therapies in prostate and other cancers. We are also pioneering innovative therapeutic strategies to overcome these resistances, utilizing a range of state-of-the-art techniques, including 3D-cultured organoids, single-cell sequencing, and spatial transcriptomics. Our recent work has been published in top-tier journals such as Cancer Cell (2020, 2023), Cancer Discovery (2024), Nature Cancer (2022), and Oncogene (2024).
Exciting Research Directions in the Lab:
- Lineage Plasticity and Resistance: Unravel the mechanisms of lineage plasticity-driven resistance and develop novel combination therapies to prevent or overcome this resistance.
- Novel Tumor Suppressors and Oncogenes: Identify and explore new druggable targets among novel tumor suppressors and oncogenes that mediate therapy resistance.
- Tumor Microenvironment and Immune Modulation: Explore how prostate cancer cells alter the tumor microenvironment and immune cells to achieve resistance.
- Mutagenesis and Tumor Evolution: Investigate the molecular mechanisms that promote mutagenesis, tumor heterogeneity, and tumor evolution.
- Epigenetic Rewiring: Examine how epigenetic rewiring promotes therapy resistance and find ways to counteract these changes.
- Drug development: Develop novel therapeutic agents, including small molecular inhibitors and protein degraders, using our established high-throughput platform.
Qualifications:
- Candidates must hold a Ph.D. and/or M.D. degree.
- Applicants with a strong background in Molecular Biology, Cell Biology, Genetics and Epigenetics, Immunology, and/or Computational Biology are strongly encouraged to apply.
Compensation & Benefits:
- Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs.
Apply:
Interested individuals should send the below information to the following:
Ping Mu, PhD
Associate Professor
Department of Urology
Yale University
- Brief Cover Letter: Describe your specific interest in the fellowship, highlighting relevant skills and experience.
- Academic CV or Resume
- Contact Information for 3 References
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
Postdoctoral Associate Position - Deng Lab, Department of Urology – Yale School of Medicine
Postdoctoral Associate Position Available in Molecular Mechanisms and Translational Research in Prostate Cancer
Location: New Haven, CT
Start Date: Anticipated date of September 1, 2024
Deadline: until position filled
Description:
The Deng Laboratory in the Department of Urology at Yale School of Medicine is seeking a motivated candidate to join our research team. Our lab is dedicated to understanding the molecular mechanisms that drive tumorigenesis and drug resistance in prostate and other cancers. We utilize a variety of biochemical, cell biological, and genetic approaches to identify druggable targets of prostate cancers and develop drugs to treat both primary and metastatic prostate cancers.
Our research focuses on several key areas:
- Molecular Mechanisms of tumorigenesis: We investigate the underlying molecular pathways that contribute to cancer development and progression. We use cell and mouse models established in the lab to study key drivers that regulate tumorigenesis.
- Drug Resistance: Cancer cells often develop resistance to existing treatments. Our lab studies the genetic and epigenetic changes that lead to drug resistance, with the goal of developing strategies to overcome this challenge.
- Our goal is to translate our findings into clinical applications. We collaborate with synthetic chemistry labs to develop and test new drugs in preclinical models, and physician-scientist to translate them into clinical practices.
Qualifications:
Candidates must hold a Ph.D. or equivalent degree. Preference will be given to applicants with a strong background in Molecular Biology, Cell Biology, Metabolism and mouse genetics.
Compensation & Benefits:
Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs.
Application Instructions:
Interested applicants should email 1) cover letter that describes research experience and future goals, 2) CV and 3) contact information of three references to: su.deng@yale.edu
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
The Yale Center for Emotional Intelligence (https://www.ycei.org), part of the Child Study Center at the Yale School of Medicine, conducts research and teaches people of all ages how to develop their emotional intelligence. Our work focuses on (1) the development of social and emotional skills among diverse populations in education settings and organizations, and (2) the mechanisms by which social and emotional skills and training impact significant life outcomes.
We are seeking a highly motivated, full-time Postdoctoral Associate to join the interdisciplinary research team at the Yale Center for Emotional Intelligence to support the How We Feel program of research. The primary object of the project is to investigate the context of daily feelings reported by users of the How We Feel app (how daily affect is related to where people are, what they are doing, and who they are with), longitudinal relations between daily feelings and well-being, and dynamics of daily affect and personality. The Postdoctoral Associate’s primary responsibility will be to lead data curation, analyses, and writing research articles for publication in academic journals. Results will directly inform and impact the app design and emotion skills training it provides, as well as indirectly inform programs to build social and emotional skills in adult populations.
KEY RESPONSIBILITIES
- Oversee, conduct, and assist with quantitative data collection, curation, and analyses, including data management, cleaning and reporting.
- Lead or participate in the design of future studies, literature reviews, and working with other team members to collect and analyze data.
- Interpret and communicate results effectively in various formats.
- Prepare and publish manuscripts in peer-reviewed journals and present research findings at conferences in areas relevant to the study, possibly in collaboration with other YCEI members.
- Collaborate efficiently and effectively with other researchers.
The Project Director, Dr. Zorana Ivcevic Pringle, will oversee day-to-day work assignments and serve as the primary supervisor along with Dr. Marc Brackett. The Postdoctoral Associate will have flexibility to develop their specific research focus within the context of the project team’s expertise and the needs of the larger project.
The Postdoctoral Associate position is a full-time appointment for one year, with full benefits, and with the possibility of renewal, dependent upon performance and availability of funding. Information on benefits for postdoctoral appointments can be found here. This is not a remote opportunity. This position is located at the Child Study Center on the campus of Yale University in New Haven, CT. In accordance with the university’s postdoc office policy, all trainees are expected to complete their training on campus.
SKILLS & QUALIFICATIONS
The ideal candidate will have or demonstrate the following:
- Ph.D. in a relevant field or discipline such as psychology, sociology, or education
- Specialization or research experience in the study of emotions and/or relevant area
- Competence in quantitative research methods, including methods for longitudinal research, network analysis, and nominal data analysis
- Strong analytical skills and use of statistical packages and analyses (e.g., SPSS, R)
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
- Strong track record of publications and research outputs commensurate with career stage
- Excellent writing skills demonstrated in academic publications
- Exceptional project management and organizational skills, including effective time management
- Ability to work both independently with minimal supervision and collaboratively
- Ability to interact and communicate effectively (e.g., through writing, presentations) with different audiences (research community, general public)
TO APPLY
Qualified candidates should email Whitney Sanders at yceiresearch@yale.edu with the subject line “Postdoc Applicant, HWF: [YOUR NAME]”. Please include the following application materials:
- (1) Current Curriculum Vitae (CV)
- (2) Cover letter describing your research background, key research accomplishments, interests, career goals, and motivation for the position (2 pages maximum)
- (4) An example publication that demonstrates your skills
- (3) Contact information for 3 references
Qualified applicants may be contacted to schedule an interview and asked to submit two letters of recommendation.
To apply, please submit the above materials by October 1, 2024. Letters will be requested for finalists only.
For questions about the position, email Zorana Ivcevic Pringle (Zorana.ivcevic@yale.edu).
Anticipated start date is January 1, 2025.
Eligibility Requirements
To be eligible for a postdoctoral appointment, candidates must hold a Ph.D., or equivalent degree from a program in relevant field or discipline. When a candidate has completed all the requirements for a degree, but the degree has not yet been formally conferred, the candidate may present evidence of completion of the degree, together with a statement of the date on which the degree is to be conferred.
ABOUT THE YALE CENTER FOR EMOTIONAL INTELLIGENCE
Emotions drive learning, decision making, creativity, relationships, and health. The Yale Center for Emotional Intelligence uses the power of emotions to create a healthier, and more innovative, productive, and compassionate society. We conduct research and design educational approaches that support people of all ages in developing emotional intelligence and the skills to thrive and contribute to society. Schools are at the center of these efforts. RULER, the Center’s signature program, draws on leading pedagogical practices as well as advances in psychology and neuroscience, and it has been honed through years of collaboration, classroom observation, interviews, and the most demanding evaluations. Creating awareness—both of self and others—about emotions and developing the skills of emotional intelligence can improve children’s prospects in life and contribute, in turn, to healthier, more compassionate families, workplaces, and communities. RULER does this by teaching adults and children the skills of emotional intelligence. Since 2005, more than 5,000 schools across 27 countries have implemented RULER, affecting the lives of over 4 million students. Accordingly, we integrate emotional intelligence skill building, the basis of RULER, into their everyday practices and into classroom curricula across grade levels. The Yale Center for Emotional Intelligence is a self-supporting unit within the Child Study Center. The Child Study Center serves as the Department of Child Psychiatry for the Yale School of Medicine. The Child Study Center, and more broadly, the Yale School of Medicine is a vibrant and exciting training environment for young researchers with extensive opportunities for networking and career development: https://postdocs.yale.edu/. The Postdoctoral Associate will benefit from mentorship on academic advancement and participate in multiple professional development trainings and opportunities (e.g., developing public speaking skills, attending YCSC postdoc seminar series, presenting research from the project at national or international conferences).
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
The university strongly encourages all students, faculty, staff, postdoctoral/postgraduate trainees, and visitors to receive all COVID-19 vaccinations that are recommended by the Centers for Disease Control and Prevention and for which they are eligible. For additional information, please visit https://covid19.yale.edu/.
The Sun lab focuses on the function of cilia and the etiology of ciliopathies, particularly polycystic kidney disease and primary ciliary dyskinesia. Originally established as a zebrafish lab, the Sun lab has expanded into mouse and cell culture to translate novel findings to clinically more relevant systems.
Our interdisciplinary research has taken us into fields that span genetics, chemical genetics, biochemistry, developmental biology, and imaging. More details can be found at https://www.sun-lab-yale.org/. Current key questions include tissue-specific functions of cilia in epithelial cyst formation and interstitial fibrosis in the kidney, the building of motile cilia in zebrafish and the mammalian airway, and chemical-genetic interactions in zebrafish ciliopathy models.
We are seeking a motivated, creative, and open-minded candidate who is ready to explore all the opportunities available in our vibrant research community. We expect the candidate capable of logical reasoning and robust experimental design and execution. The candidate is also expected to be proficient in molecular and cellular biology. Both zebrafish and mouse models will be used. Although not pre-requisite for this position, experience in the two model organisms is a plus. The Sun lab is dedicated to career development of all lab members and welcome applicants of diverse backgrounds.
Qualifications
Applicants should hold a PhD in biological sciences.
Application Instructions
Interested applicants should email a one-to-two-page cover letter that describes research experience and future goals, CV and names and contact information of three references to: zhaoxia.sun@yale.edu<mailto:zhaoxia.sun@yale.edu>
Zhaoxia Sun, Ph.D., Associate Professor
Co-Director of Graduate Studies, Department of Genetics
Yale University School of Medicine
333 Cedar ST., SHM I-331A
New Haven, CT 06520-8005
zhaoxia.sun@yale.edu<mailto:zhaoxia.sun@yale.edu>
- Oversees recruitment of study participants
- Trains and supervises research assistants
- Coordinates schedules of study counselors and research assistants
- Initiates and maintains contact with study participants
- Schedules and conducts interviews or assessments
- Organizes participant logs and other study-related materials
- Manages data sets
- Prepares and presents progress reports
- Assists in write-up of publications and presentations
- Assists study investigators in completing study-related reports
- Interfaces with Yale Institutional Review Board
- Doctorate in psychology, science, or related field
- Excellent interpersonal skills
- Polished verbal and written skills
- Well-developed organizational skills
- Commitment to human services research and patient population
- Punctuality and positive work ethic
- Ability to multitask
- Flexibility with work schedule to meet study demands
The Laboratory of Intelligent Global Health and Humanitarian Response Technologies (LiGHT) is looking for exceptional, multi-talented AI/ML postdocs to develop implementable predictive models adapted to low-resource settings and humanitarian response.
The role leads a mission for further instilling academic rigor and innovation into implementable digital global health technologies and developing inclusive interdisciplinary needs-based design of new methods.
ABOUT YALE
The Department of Biomedical Informatics and Data Science [BIDS] in the Yale School of Medicine [YSM] has a mandate to create research, teaching, and service that ensures equity in the digital transformation of healthcare.
YSM, established in 1810, is a leading institution combining education, research, and clinical practice. With a long-standing commitment to excellence, it provides a dynamic environment with work recognized globally by several Nobel prizes and practice-changing innovation. Employees at Yale have the opportunity to work alongside respected scholars and top students and participate in a diverse range of programs.
ABOUT LiGHT
LiGHT is a global community of exceptional academics, humanitarians, clinicians, volunteer open-source enthusiasts, and global health specialists. Our lab participates in the full cycle of implementable data-driven global health research, from clinical studies in LMIC communities to innovating novel optimization strategies that adapt our tools to these settings.
We build technologies that ensure local data ownership, and co-design tools with our long-term collaborations in South Africa, Tanzania, Rwanda, Nigeria, Switzerland, Namibia, Senegal, and several NGOs. Our group maintains a large portfolio of open-source technologies and foundation models, and we are committed to leveraging academia to ensure sustainable, implementable innovation to improve health care in resource-limited settings.
YOUR PROFILE
- Exceptional, energetic, and organized with a high socio-emotional intelligence
- Growth mindset and passion for providing social good at individual and global scales
- Deep understanding of the theoretical foundations of deep learning and interest in sharing knowledge and supervising students in a multi-project lab
- Curious about the latest methodological AI research and regularly following and participating in ICML, NeurIPS ICLR etc.
- Ability/interest to travel frequently to Sub-Saharan Africa
- Enthusiastic about interdisciplinary teaching opportunities
YOUR MISSION
- Collaborate closely with research staff on cutting-edge deep learning algorithms and software development
- Support research staff in transitioning research prototypes to production-grade software tools
- Implement and promote best practices for sustainable and maintainable software development
- Write and contribute to publications and reports
- Supervise and mentor students, fostering a collaborative and innovative research environment
THE FOCUS AREAS
- Equitable data management in low-resource settings (equitable, fair, provably privacy-preserving, carbon-aware federated learning which is robust to data shifts of imperfect interoperability and capable of large-scale multimodality)
- Multimodal LLMs
- LLM validation and explainability
- Machine unlearning
- Implementable optimization techniques that reduce their computational cost for equitable access and use in low-resource settings
SKILLS REQUIRED
- Fluent communication in English (speech and writing)
- Extensive experience in scientific writing and publication
- PhD in AI/ML/CS
SKILLS PREFERRED
- Digital health experience
WE VALUE
- Creativity
- Passion
- Humor
- Kindness
- Organization
- Rigor
- Autonomy
- Diversity
- Openess&Transparency
- Adventure
- Generosity
- Hard work
WE OFFER
An exciting and dynamic environment in a very talented and motivated international team.
Strong potential impact in research, applications, and the open-source community.
Start date : ASAP
Term of employment : Fixed-term
Work rate : 100% (Must be based in the US)
Duration : 1 year fixed-contract. with possible extension
Position Title: Postdoctoral Associate in Aging Studies and Data Science
Location: Department of Sociology, Yale University, New Haven, CT
Position Description: We invite applications for a Postdoctoral Associate position at Yale University’s Department of Sociology, under the supervision of Professor Emma Zang. This position is funded by the Alzheimer’s Association and the National Alzheimer’s Coordinating Center (NACC). The successful candidate will work on a significant project aimed at understanding the relationships between health trajectories, healthcare utilization, and the unpaid caregiving costs for individuals with cognitive impairments.
The Postdoctoral Associate will have the unique opportunity to collaborate across multiple entities on campus, including the Yale Pepper Aging Center, Yale School of Medicine, Yale School of Public Health, and the Institution for Social and Policy Studies, enhancing their research experience and professional network.
Responsibilities:
- Conduct advanced statistical analysis on linked datasets including the National Health and Aging Trends Study (NHATS), National Study of Caregiving (NSOC), and Centers for Medicare & Medicaid Services (CMS) claims data.
- Investigate the impact of cognitive impairment on caregiving costs and analyze how these costs are influenced by various sociodemographic factors.
- Publish findings in high-impact journals and present results at national and international conferences.
- Collaborate with an interdisciplinary team of researchers and contribute to grant writing and project management.
Qualifications:
- PhD in Sociology, Public Policy, Economics, Public Health, Biostatistics, Statistics, or a related field.
- Proven expertise in quantitative data analysis and proficiency in statistical software (e.g., R, Stata).
- Prior experience with causal inference, Bayesian methods, or trajectory modeling preferred but not required.
- Demonstrated publication record and strong scientific writing skills.
- Excellent interpersonal and communication skills to effectively collaborate with a diverse team.
Term and Compensation:
- The position is available for one year with the possibility of renewal for an additional 1-2 years depending on funding availability in spring 2025.
- The position offers a competitive salary, benefits package, and access to university resources
- The start date can be as early as September 2024 and no later than September 2025.
How to Apply: Interested candidates should submit a cover letter, CV, and contact information for three references to emma.zang@yale.edu. Applications will be reviewed on a rolling basis until the position is filled.
Yale University is an Equal Opportunity Employer. We value diversity and inclusivity and encourage all qualified individuals to apply.
A postdoc position in genome editing is available in Ailong Ke’s Lab at Yale University, New Haven, USA. We are looking for a highly motivated individual with experiences in genome editing and eukaryotic cell engineering. Experience in high-throughput screening, mouse work, or microbial engineering is a plus. This trainee will interact with mechanistic biologists in the lab to convert RNA-guided processes, such as CRISPR-Cas, into novel genome editing applications, and to test their efficacy in various therapeutic settings. Our lab is particularly strong in generating high-quality mechanisms and the follow-up engineering. Research details can be found in our laboratory and departmental web sites.
Representative publications include Nat Chem Biol. 2024 Jul 8. doi: 10.1038/s41589-024-01669-3; Mol Cell. 2024;84(3):463-475; Science. 2022;377(6612):1278-1285; Science. 2022;376(6600):1476-1481; Nature. 2021;598(7881):515-520; Molecular Cell. 2019;74(5):936-950; Science. 2018;361(6397); Nature. 2017;550(7674):137-141; Cell. 2017;170(1):48-60; Nature. 2016;530(7591):499-503.
QUALIFICATIONS: Candidates are expected to have published at least one first-author paper in a reputable journal and hold a Ph.D. or an M.D. degree before arrival. Please send your CV, list of publications, and three recommendation letters to ailong.ke@yale.edu for consideration.
A postdoc position is available in Ailong Ke’s Lab at Yale University, New Haven, USA. The main theme of the lab is to understand the role of RNA in biology. Current emphases include 1) CIRSPR-Cas mechanisms, 2) bacterial innate immunity, and 3) structure-function of RNA. Projects for postdocs typically involve training in nucleic acid biochemistry, cryo-EM, various functional validation methods, and possible genome editing applications. Research details can be found in our laboratory and departmental web sites.
Representative publications include: Mol Cell. 2024;84(3):463-475; Science. 2022;377(6612):1278-1285; Science. 2022;376(6600):1476-1481; Nature. 2021;598(7881):515-520; Molecular Cell. 2019;74(5):936-950; Science. 2018;361(6397); Nature. 2017;550(7674):137-141; Cell. 2017;170(1):48-60; Nature. 2016;530(7591):499-503.
We are looking for a highly motivated individual with experiences in biochemistry and cryo-EM. Experience in microbial engineering is a plus. The lab has routine access to Krios and FIB-milling instrument. We aim to push the ceiling of mechanistic biology through cryo-EM method development. Additionally, we aim to provide an interdisciplinary training environment to efficiently convert high-resolution mechanisms to novel genome editing applications. Structural biology trainees will interact with peers in genome editing and single molecule biophysics in a day-to-day basis in the lab.
QUALIFICATIONS:
Candidates are expected to have published at least one first-author paper in a reputable journal and hold a Ph.D. or equivalent degree before arrival. Please send your CV, list of publications, and three recommendation letters to ailong.ke@yale.edu for consideration.
Postdoctoral positions at the Department of Biomedical Informatics & Data Science at Yale School of Medicine
New Haven, Connecticut (USA)
About the postdoctoral project
We are seeking highly motivated postdoctoral researchers in biomedical informatics and data science to work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply.
Candidate requirements
Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field (e.g., Health Informatics, Clinical Informatics, Biomedical Engineering, Electrical Engineering). Those in the final stages of their PhD are also eligible to apply. A good understanding of medical data and/or electronic health records is considered an asset. The successful candidate should be capable of working both independently and as part of a team.
Essential skills
Proficiency and hands-on experience in blockchain technology (preferably Ethereum) and/or machine learning.
Solid foundation in computer network and/or data analysis.
Strong programming skills, preferably in Java.
Ability to work collaboratively in an interdisciplinary team.
Good to have
Experience in smart contract development, preferably in Solidity.
Familiarity with cloud computing and shell script.
Knowledge of biomedical blockchain, clinical predictive models, and/or blockchain-based privacy-preserving learning.
Good understanding of medical data and/or electronic health records.
Soft skills
Excellent English, both written and spoken, and strong communication skills.
Ability to work effectively in teams.
Ability and interest in mentoring junior scientists.
Strong problem-solving and critical-thinking skills.
Good time management and organizational skills.
Ability to work independently and take initiative.
About the Supervisor
The primary supervisor for the project is Dr. Tsung-Ting Kuo, a faculty member of Biomedical Informatics & Data Science and of Surgery at the Yale School of Medicine. More about Dr. Kuo can be found here at: https://medicine.yale.edu/profile/tsung-ting-kuo/.
About the department
The Department of Biomedical Informatics & Data Science (BIDS) is a new department at the intersection of health sciences and information technology. It develops new approaches to organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here at: https://medicine.yale.edu/biomedical-informatics-data-science/
Post-doctoral fellow -Farhadian Lab -Yale School of Medicine
The Farhadian Laboratory at Yale School of Medicine seeks a Postdoctoral fellow to begin immediately. The primary focus of the laboratory is investigating the neurological consequences of infectious diseases, including HIV, COVID-19, and syphilis, including in the context of substance use disorder. Our group uses an array of translational and computational research approaches, with a focus on single cell profiling of CNS tissue. Fellows will be primarily responsible for using multi-omics, flow cytometry, and other assays for profiling cerebrospinal fluid in research participants being recruited for a new, NIDA funded study of HIV and substance use treatment. There are also opportunities to expand into new research areas of disease. The opportunity will foster career growth towards academia or industry roles, while contributing to a rewarding area of research. The fellowship will be tailored to the career goals of the candidate. Salary commensurate with NIH postdoctoral fellowship scale, with opportunities for additional compensation based on relevant experience.
Applicants with backgrounds, experience in any of the approaches listed above are encouraged to apply. Candidates with a strong background in translational neuroscience, immunology, and/or computational biology are strongly encouraged to apply too.
Qualifications
- MD or PhD in computer science, bioinformatics, computational biology, immunology, neuroscience, or related field.
- Ability to multitask and prioritize efforts across multiple projects, work collaboratively with technicians, graduate students, and senior researchers.
Apply
Please send the following:
- Brief Cover Letter describing specific interest in the fellowship, highlighting relevant skills and experience
- Academic CV or Resume
- Contact Information for 2 References
Please email documents to:
Shelli Farhadian, MD PhD
- PhD in Electrochemistry, Chemistry, or Engineering (Mechanical, Materials Science or Chemical), or related field.
- Demonstrated strong experimental skills and ability to work collaboratively with others.
- Familiarity with some of the methods mentioned above is an advantage, but the ability to rapidly learn and implement new methods is more important.
Postdoctoral Research Associate in AI/LLMs for Health
Job Description
We are seeking a highly motivated Postdoctoral Research Associate to join our dynamic research lab at Yale (YaleNLP). The job focus will be on advancing the applications of Large Language Models (LLMs), AI, and Natural Language Processing (NLP) in health-related data. This position will be in close collaboration with a AI for health start up and offers the opportunity to tackle unique challenges of developing LLM solutions for domain-specific and real-world scenarios. The successful candidate will contribute to impactful research and developing solutions that will be directly applied in real-world settings and will be deployed in health-care systems.
Responsibilities
- Develop and train advanced language models tailored to health-related and biomedical data.
- Engage in fine-tuning, alignment, and post-training methods to enhance model performance, reliability, and applicability.
- Design and lead a coherent research agenda in line with the scope of the project.
- Collaborate with a highly multidisciplinary team to integrate NLP research findings into practical applications and tools in the health domain.
- Publish research outcomes in relevant high-impact conferences and journals (e.g., ACL, EMNLP, NeurIPS, ICLR, or other relevant interdisciplinary venues).
- Work with highly talented and motivated students, gaining hands-on experience in mentoring
Qualifications
- By the start date, having a PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Strong software engineering skills.
- Extensive experience in deep learning, as well as training and deploying language models.
- Proven track record of contributing to open-source projects.
- Strong publication record in top-tier relevant venues
- Excellent communication skills and the ability to work in a highly collaborative and agile environment.
Application Procedure
Interested candidates should submit the following materials:
- Application form.
- A detailed CV, including a list of publications.
- A cover letter outlining research interests and career objectives.
- Two reference letters from academic or professional contacts familiar with the candidate’s work (not needed for initial application stage).
This postdoctoral position is designed for individuals who are driven to explore new heights in AI research and have a deep commitment to transforming health data analysis through innovative technology. The position is for one year but there is possibility of extension 1-2 additional years. Join us if you are ready to contribute to cutting-edge research in a dynamic and supportive environment!
To apply, please fill out the following simple application form
Application form: https://forms.gle/YWbcygSn1pYVT3Qu5
Research Position (Post-doc) in the Department of Immunobiology
The Sefik Laboratory, located in the Department of Immunobiology at the Yale School of Medicine seeks a highly motivated postdoctoral scholar to engage in cutting-edge research at the intersection of immunology and chronic inflammatory diseases. As a postdoctoral fellow in our dynamic and collaborative environment, you will have the unique opportunity to elucidate the pathophysiology of these complex conditions using state-of-the-art methodologies.
Under the direction of Dr. Sefik and a team of dedicated collaborators, you will utilize humanized organs and humanized mice harboring a human immune system to elucidate the intricate mechanisms underlying chronic inflammation and fibrosis. Through a combination of in vitro and in vivo approaches, you will contribute to advancing our understanding of these diseases, with the ultimate goal of developing novel therapeutic strategies.
In addition to conducting innovative research, as a postdoctoral scholar in the Sefik Laboratory, you will benefit from a supportive and inclusive community that fosters intellectual growth and career development in the Department of Immunobiology and more broadly Yale University. With a strong commitment to nurturing the next generation of scientific leaders in a diverse research community. As such, applicants from all backgrounds are encouraged to apply.
If you are a motivated and passionate scientist eager to make a meaningful impact in the field of immunobiology, we invite you to apply via esen.sefik@yale.edu to join this newly established laboratory and embark on an exciting journey of discovery and innovation.
Preferred Qualifications
- Ph.D. In immunology or a relevant field
- Experience in infectious diseases and/or in vivo mouse models
- Laboratory skills and research experience
- Data analysis skills
- Teaching and/or mentoring experience
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
Postdoc Position in Systems Neuroscience and Connectomics
Kuan Lab, Yale School of Medicine, New Haven, CT USA
We seek a Postdoctoral Fellow to join the Kuan Laboratory in the Neuroscience Department at the Yale School of Medicine. The fully funded position is flexible in timeline and scope, but broadly aims to use functional and anatomical imaging techniques to make fundamental discoveries about the how computations are achieved in brain circuits. The candidate will develop and employ a variety of techniques in the lab, including volume electron microscopy, synchrotron-based X-ray imaging, in vivo 2-photon calcium imaging, virtual reality behavior, circuit modeling and machine learning. The candidate will receive active training and mentorship from Dr. Kuan in preparation for future career advancements in academic or industry settings. As a senior member of the lab, the candidate will take a creative leadership role in planning and executing research projects, and assist in training and mentoring more junior lab members including graduate and post-baccalaureate students.
About Us: The Kuan Laboratory aims to understand how neuronal connectivity in brain circuits gives rise to cognition. We develop cutting-edge high-resolution imaging techniques to map out comprehensive circuit diagrams (connectomes) and investigate how circuit architectures support neuronal function and behavior. We aim to foster an environment where individuals of any race, gender identity, ethnicity, religion, socioeconomic class, sexual orientation, and geographical background feel supported and empowered. More information about the lab and research topics can be found at kuanlab.org.
Qualifications: Candidates must hold – or expect to obtain soon – a Ph.D. degree (or equivalent) in neuroscience, biology, engineering, physics, or related fields. Strong skills and previous experience in systems neuroscience and/or engineering are preferred, along with a passion for innovation and understanding brain circuits. We welcome applications from individuals from diverse backgrounds and encourage candidates from underrepresented or minority groups to apply.
Location: The Postdoctoral Associate will be based in the Neuroscience Department of the Yale School of Medicine at 100 College Street, New Haven, CT.
Application Process: Interested applicants should contact Dr. Aaron Kuan, PhD (aaron.kuan@yale.edu) with the Subject line: “Postdoctoral Position in the Kuan Lab” and include a copy of their CV. Please also include a brief description of career goals and proposed start date, and relevant experience. Yale University is an equal opportunity employer and values diversity in its faculty, students, and staff. For more information about our lab and ongoing projects, visit our website at www.kuanlab.org.
Description:
Multiple postdoctoral research associate positions are immediately available in Dr. Haoyu Cheng’s Lab (https://hcheng-lab.github.io/) at the Department of Biomedical Informatics and Data Science (BIDS) at Yale University, School of Medicine. Successful candidates will engage in the development of innovative computational algorithms for genome analysis. Potential projects include genome assembly, read alignment, variant calling, pangenome analysis, as well as other related research on cancer and plant genomes.
Preferred qualifications:
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Statistics, Genetics, or a related field.
- Strong programming skills. Demonstrated experience in developing algorithms using high-performance languages such as C, C++, or Rust is desirable.
- Demonstrated expertise in analyzing large-scale genomic sequence data.
- A strong track record of scientific publications.
- Good oral and written communication skills in English.
How to apply:
Please email your CV to Dr. Cheng at haoyu.cheng@yale.edu with the subject ‘Postdoc Application - Cheng Lab’. Applications will be reviewed on a rolling basis.
About the PI:
Dr. Haoyu Cheng is an Assistant Professor at the Department of Biomedical Informatics and Data Science (BIDS) at Yale University, starting in July 2024. His research primarily focuses on developing computational methods for genomic data, with a particular emphasis on de novo genome assembly and its applications. He has developed a suite of algorithms for de novo genome assembly, including hifiasm (Cheng et al, Nature Methods, 2021), hifiasm (Hi-C) (Cheng et al, Nature Biotechnology, 2022) and hifiasm (UL) (Cheng et al, Nature Methods, 2024). These algorithms have been widely used by numerous large-scale sequencing projects, such as the Human Pangenome Reference Consortium (HPRC), the Genome in a Bottle (GIAB), the Vertebrate Genomes Project
(VGP), and the Darwin Tree of Life project. His works received the recognition of the K99/R00 Pathway award from the National Institutes of Health (NIH). For more information, please see https://hcheng-lab.github.io/
Postdoctoral positions are available in the laboratory of Dr. Priti Kumar at Yale University’s School of Medicine, Department of Internal Medicine, Section of Infectious Diseases, New Haven, Connecticut USA. The laboratory is dedicated to developing innovative therapeutic strategies aimed at curing HIV infection. The research program will focus on recent findings that highlight the potential of using cutting-edge in vivo gene-and immunotherapeutic approaches to target virus-infected cells, achieving long-term viral control without the need for antiretroviral therapy.
Publications of interest: https://www.ncbi.nlm.nih.gov/myncbi/priti.kumar.1/bibliography/public/
We are looking for highly talented, creative, and independent-minded post-doc candidates to fit into any one of the major endeavors of the lab:
-Developing targeted in vivo delivery systems for cutting edge gene editors as gene therapy for HIV
-Investigating immunotherapeutics for the cure of HIV
Both programs include preclinical evaluation in state-of-the-art humanized mouse models, which enable studies in the context of a human immune system. The experimental approaches will span molecular biology, immunology, and virology.
The expertise/experiences required for this position include:
- Expertise in basic virology/molecular/cell biology/immunology techniques such as animal cell culture, virus production, neutralization, lentiviral vector production molecular cloning, Western blot, flow cytometry, ELISA, protein expression and purification, knowledge of CRISPR technology, microscopy, human immune cell assays, etc.);
- Prior experience in working with animal model systems is highly desirable. Experience in generating humanized mouse models is a strong positive, but not a requirement. Relevant training is available upon hire.
- Previous experience working in BSL-2+ laboratories with viruses, particularly HIV, is a plus;
- Basic statistical knowledge is highly desirable;
- Excellent oral communication and written skills in English, with good organizational and analytical abilities.
Candidates should have a Ph.D. in Biological Sciences such as immunology, virology, biochemistry, molecular and cell biology, and other related fields. The salary will be according commensurate with experience. See the links on the top of the postings page for Compensation and Benefits.
Applicants should submit (in a single PDF file) a brief letter of interest summarizing qualifications, a curriculum vitae, and the names and addresses of three individuals willing to provide letters of reference to Priti Kumar, PhD via email: priti.kumar@yale.edu
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
The Libreros lab is a highly collaborative, friendly, supportive, and dynamic environment in the Department of Pathology and Vascular Biology Therapeutic Program (VBT) at Yale University.
We are seeking a highly motivated and creative postdoctoral fellow to join our Resolution of Inflammation Lab. Our research is centered on the cellular, molecular, and biochemical mechanisms that govern hematopoiesis and hematopoietic stem cell fate decisions during the resolution of inflammation and infection. By integrating resolution pharmacology with immunology and hematology, we utilize pre-clinical models of inflammation and human tissues to elucidate the roles of chemical mediators, such as Resolvins, in regulating hematopoietic stem and myeloid cells.
Requirements
- We are seeking a recent graduate with a PhD, or MD or equivalent degree in Immunology, Cell Biology or Biochemistry or relate discipline or less than 1.5 years of Postdoctoral experience.
- Prior experience in one or more of these are highly desired: single-cell omics, Lipidomics, intravital microscopy, live cell imaging, mass spectrometry (LC-MS-MS), and flow cytometry.
- Successful candidate should be able to work independently and collaboratively with the team.
- Experience with murine models is encouraged but not required.
- Independently develop protocols and establish new methodologies.
- Excellent writing and communication skills including careful tracking and documenting results in laboratory notebooks and databases, analysis, summarization, and presentation of experimental results to other team members, manuscript preparation and publication.
Research and Mentoring
The recruited postdoctoral fellow will engage in research under the supervision of Dr. Stephania Libreros to elucidate the molecular circuits governing the bone marrow following an inflammatory insult. Additional projects will explore the metabolomics networks that regulate tissue-specific responses during the resolution of inflammation or its failure.
Opportunities for the candidate include:
- Gaining expertise in lipidomics, metabolomics or intravital microscopy.
- Weekly one-on-one meetings to support both research and career development.
- Training in writing research proposals and delivering oral presentations.
Inquiries: please email Dr. Stephania Libreros at stephania.libreros@yale.edu with the following:
- Include “Post doctorate position” in the subject of the email with a curriculum vitae.
- A cover letter stating your motivation for pursuing the opportunity in our group including (PMID’s), your research interests and experience, and your formal qualifications.
- Provide the contact information of 2-3 references.
At the Libreros lab, diversity and inclusion are our commitment and passion.
We invite you to be part of it and START the RESOLUTION!
Yale University is an Affirmative Action/Equal Opportunity Employer and strongly encourages applicants from women’s who identify with groups traditional underrepresented in science and medicine, person with disabilities and protected veterans.
Postdoctoral Associate, Intimate Partner Violence Intervention, Yale University
Under the mentorship and direction of Dr. Carla Stover, the postdoctoral associate will work within the Fathers for Change research program that is supported by 2 NIH grant-funded randomized controlled trials of Fathers for Change, an individual intervention for fathers who have used violence and may have co-occurring substance misuse problems. One trial is specific to families involved with child protective services and the second is within substance misuse treatment programs including the VA. For further information about Fathers for Change see: Fathers for Change < Child Study Center (yale.edu). The postdoctoral position is initially funded for 2 years. Some postdoctoral fellows are successful in transitioning into a faculty position, and this may be a path the postdoctoral fellow may wish to pursue. While the position is research-focused, there are ample opportunities to accrue supervised clinical hours in assessment and psychotherapy (summarized below).
The Associate will be trained and supervised in interventions for IPV and substance misuse. The position will be a balance of providing research interventions and helping coordinate the clinical trials. This will include oversight of student research interns in the lab, study recruitment, baseline and follow-up assessments, coding of father-child play assessments, data management, analysis and writing/presenting result for publication and conferences. The Associate will receive strong mentorship in further developing their own, independent program of research, manuscript development and grant development.
The candidate should have demonstrated experience collecting original data, advanced quantitative analytic skills, experience in database management, and experience with clinical populations. Preference will be given to candidates with prior experience with IPV and/or substance misuse and those with clinical trials experience. Qualifications include a PhD in psychology, social work or related clinical discipline. Candidates who have completed all of their requirements for their PhD but the degree has not yet been conferred, will be considered.
Start date is flexible.
Yale values diversity in its faculty, staff, trainees, and students and especially encourages applications from women, persons with disabilities, protected veterans and underrepresented minorities. Yale is an affirmative action/equal opportunity employer.
Review of applications will begin immediately and continue until the position is filled. To apply, please send a single PDF documenting the following to carla.stover@yale.edu
- Combined cover letter/research statement detailing previous research experience, interests, and career goals
- Curriculum Vitae
- Three representative publications
- Names and full contact information of three academic references familiar with the applicant’s research skills and experience (reference letters are not needed at this time).
Department: Yale Center for Environmental Justice (YCEJ), Yale School of the Environment
Location: New Haven, CT (In residence required, some hybrid negotiable)
Position Type: Full-Time, 1-Year Fixed Term with possibility of extension to 2 years.
Start Date: Fall 2024
Salary: $68,000
Position Summary:
The Yale Center for Environmental Justice (YCEJ) invites applications for a Post-Doctoral Fellow in Climate Migration. This position is part of an interdisciplinary research project titled “The Science, Policies, and Ethics of Climate Migration: Disrupting the Negative Feedbacks Between Climate and Migration Politics.” The project aims to mitigate the negative political feedback loops between climate change and migration by generating research that informs policy and bolsters the resilience of migrant-receiving communities.
The Post-Doc will work closely with the project’s leaders: Professors Maya Prabhu (Yale Medical School), Gerald Torres (Yale Law and Environment), Dr. Michel Gelobter (YCEJ’s Executive Director), and Daniel Wilkinson (lecturer in the Jackson School and former Americas Director for Human Rights Watch).
Key Responsibilities:
- Research Coordination: Coordinate and contribute to developing three to five case studies examining the attribution of different types of migration to climate change and the effectiveness oflocal and international policies in addressing climate-induced migration. These case studies will be developed with students as the primary product of a year-long multi-disciplinary seminar starting in Spring 2025.
- Seminar Support: Support the design and teaching of a year-long interdisciplinary seminar (Spring-Fall 2025), engaging students from various disciplines, including climate attribution science, climate adaptation and resilience policy, international climate finance, and migration policy.
- Field Work: Oversee and participate in field research in climate migrant communities, including data collection and analysis, focusing on both quantitative and qualitative aspects of climate migration.
- Publication Development: Contribute to developing whitepapers, peer-reviewed publications, and policy briefs based on research findings. Coordinate with faculty and students to ensure timely and impactful dissemination of research outputs.
- Expert Roundtable Coordination: Assist in organizing and managing engagements with a multidisciplinary expert advisory roundtable, including at least one in-person convening at Yale.
- Stakeholder Engagement: Facilitate briefings with foundations, multilateral organizations, and individual donors interested in the intersection of climate change and migration. Promote the project’s findings through academic and public forums.
Qualifications:
- Education: A Ph.D. in a relevant field such as Environmental Science, Climate Science, Migration Studies, Political Science, Sociology, Law, or a related discipline.
- Experience: Demonstrated expertise in climate migration, including a strong research background with experience in both qualitative and quantitative methodologies, wiht a strong preference fro attribution science expertise.
- Skills: Excellent organizational, communication, and writing skills. Ability to work independently and collaboratively within an interdisciplinary team. Proficiency in data analysis and familiarity with relevant software tools.
- Commitment: A strong commitment to environmental justice, human rights, and interdisciplinary research.
Application Requirements:
- Brief cover letter outlining your interest in the position and relevant experience.
- A one-page summary of the “state of the field” for attributing migration to climate change (citations can be on a 2nd page)
- Curriculum Vitae (CV).
- A writing sample (e.g., a published paper or dissertation chapter).
- Contact information for three professional references.
Application Deadline: July 31, 2024 or until filled
Application Submission:
Please submit your application materials to Kristin Barendregt-Ludwig (kristin.barendregt-ludwig@yale.edu). For inquiries about the position, please contact Michel Gelobter (michel.gelobter@yale.edu).
About YCEJ:
The Yale Center for Environmental Justice (YCEJ) is dedicated to advancing research, education, and action on environmental and climate justice. The Center brings together scholars, practitioners, and students to address the most pressing environmental challenges through interdisciplinary collaboration and innovative solutions.
Position: Postdoctoral Associate
Department: Pathology
Hiring Faculty: Shaoning Jiang, PhD
A postdoctoral Associate position is available in the laboratory of Dr. Shaoning Jiang in the department of Pathology at Yale University. Research interests of the laboratory focus on epigenetic mechanisms linking inflammation and energy metabolism in the pathogenesis of diabetes and obesity and related metabolic disorders, particularly in the context of developmental origins of health and disease. The candidate will be involved in a recent NIH R01 funded project studying cell-type specific functions of microRNAs in regulating beige and brown fat adipogenesis and crosstalk of adipose stem cells and macrophages. Studies incorporate approaches in primary immune and stem cells, and transgenic mouse models.
Applicants should be highly self-motivated with research experience in cellular and molecular biology, metabolism, and mouse study. Research experience in the fields of immunology, embryology, or stem cell biology is desired (but not required). The candidate must have a PhD degree in a relevant field with a proven record of scientific productivity including at least one first author publication in a peer-reviewed journal. Excellent written and oral communication skills are expected. The candidate will be expected to work independently in the design and execution of experiments with guidance from the principal investigator.
Please send a Curriculum Vitae, and names / contact information for three references to Dr. Shaoning Jiang (shaoning.jiang@yale.edu).
Yale University is an Affirmative Action / Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
We are looking to hire a postdoctoral researcher to work on “Global Ocean And Land Alkalinization” (GOAL-A), a new Department of Energy (DOE) Earth Shot project that aims to create a fully connected global inorganic carbon model. The project will center on improving and integrating biogeochemical models in several “domains” including soils, streams and rivers, the near coast, and the open ocean; conducting both within domain modeling and global earth system modeling. While the scope is global, early analyses will validate this modeling framework using data from the Mississippi watershed and Gulf of Mexico. This project will improve our understanding of how carbon dioxide removal practices like enhanced rock weathering and ocean alkalinity enhancement will affect atmospheric carbon dioxide concentrations, ecosystems, flow path chemistry, ocean pH, and domain-specific alkalinization.
This new project is a collaboration between Yale, Georgia Tech, Princeton, and Texas A&M. We are currently seeking to hire a postdoctoral researcher at Yale University with modeling expertise and interests in carbon cycling, biogeochemistry, soils, hydrology, atmospheric or coupled climate models, reaction transport modeling, river network modeling, regional coastal ocean biogeochemical modeling and global ocean circulation/biogeochemical models. We are particularly interested in those with backgrounds in SWAT modeling, solid phase mass balance for the purpose of MRV, or with interests in contributing to the soils or rivers domains. A solid understanding of basic hydrology and water quality is required. Experience with various hydrology, hydraulic, sediment transport, and water quality models, especially public domain models, is a plus. This includes the simulation of carbon, nitrogen, and phosphorus cycling in the water column and sediments of rivers, lakes, and reservoirs. Common examples include, but are not limited to, QUAL2K, CE-QUAL-W2, HEC-RAS, HEC-HMS, NSMII, and SWAT.
The annual salary for this position is $68,000 plus benefits. Hybrid and remote options possible. Applications will be reviewed on a rolling basis until the position is filled. To apply, please submit a cover letter and a CV. Please send application materials and general inquiries to peter.raymond@yale.edu
Postdoctoral Fellow, Material Histories of the Human Record
The certificate program in Material Histories of the Human Record<https://materialhistories.yale.edu/> of the Humanities Program at Yale invites applications for a Postdoctoral Fellow position at Yale University for the 2024-2025 academic year. Candidates must have research, teaching, or curatorial experience relevant to the histories of the book, archival studies, collections-based learning, publication; or cultural heritage stewardship, provenance, book arts, or other relevant field expertise.
This unique opportunity situates the successful candidate within a relevant academic department at Yale and the Yale Library Special Collections. During the two years of this appointment, the Post-Doctoral Fellow will support the Beinecke Library Education program for 15-20 hours per week (the equivalent of one course per semester), work to develop the initiatives associated with the Material Histories certificate in conjunction with the co-directors, and pursue their own research.
The Material Histories certificate program is designed to expose students to multiple forms of expertise within Yale’s special collections libraries, equip emerging scholars with new analytical skills, and teach them the methodologies that scholars, librarians, archivists, conservators, and curators employ as they preserve, interrogate, and steward the human record. This inaugural postdoctoral fellowship is envisioned as a dynamic bridge between the world of libraries, archives, and special collections, and their engagements by faculty, students, artists, and researchers who are located in other parts of the university. The Postdoctoral Fellow must be committed to facilitating these engagements in Yale University’s special collections by the broadest possible group of researchers and support work that utilizes traditional methods of archival and bibliographic research alongside creative, interdisciplinary, and non-traditional approaches to conducting research in the collections.
The Postdoctoral Fellow will:
- support all aspects of the ongoing certificate program
- serve as a resource for graduate and undergraduate students within the program
- oversee publicity, outreach, and communications with the help of an undergraduate student worker
- work to develop programming that engages and creates a sense of community for those involved with the certificate program
- help plan a robust undergraduate certificate curriculum
- develop new initiatives to support the strategic direction, long-term goals, and objectives of the certificate program, including identifying partnerships and collaborations to assist in the development and growth of the program
- contribute to the development and assist in the management of content on the program’s website and monitors all changes and additions to the editorial content
The successful candidate will be intellectually wide-ranging and curious, open to imagining creative solutions and futures for the development of the certificate, have superb analytical, creative, and communication skills in both writing and public speaking, and be an excellent collaborator with the ability to foster collegiality and impart empathy, humility, and a positive outlook in their work. Experience working in an archive, library, museum, or other cultural heritage institution is desirable but not required. This position reports to the co-directors of the Material Histories of the Human Record certificate.
The Postdoctoral Fellow is expected to be in residence in New Haven, Connecticut, for the full duration of the appointment and take an active part in the intellectual exchange with other members of the Material Histories and Yale Library Special Collections communities at Yale. Compensation is competitive and includes benefits and health insurance.
Qualifications
All applicants must have completed their PhD by the time of appointment. Graduate students who are working on their PhDs may apply, but must present proof of having completed and filed their dissertations, even if awaiting formal conferral of the PhD degree. Fluency in English is required, as reading knowledge of at least one other language.
Application Instructions
Applicants should submit a cover letter; a CV; a one-page description of research plans; and a statement of 500-700 words describing their experience and interest in Material Histories of the Human Record (broadly defined). We urge all prospective applicants to read the description of the program on our website<https://materialhistories.yale.edu/> to get a sense of the range of fields we encompass.
Letters of reference are not required at this initial stage but will be requested later.
All information from the applicant should be submitted electronically through Interfolio:
We will accept applications immediately with review beginning on 1 July 2024 and continuing until the selections are final.
For questions, please email: Ayesha.ramachandran@yale.edu<mailto:Ayesha.ramachandran@yale.edu>.
Apply here: https://apply.interfolio.com/146651
Postdoctoral Associate in Intersectional Feminist STS at Yale University
We are seeking a postdoctoral associate in intersectional feminist Science and Technology Studies, with a focus on the topical areas of either critical data studies, artificial intelligence and automation technologies, or social science of medicine and medical technologies.
Required:
- Applicants must hold or receive a Ph.D. in a relevant field before the start of the appointment. Ph.D. must have been received within the last three years.
- Demonstrated ability to lead collaborative research projects, preferred to be multidisciplinary.
- Strong writing skills demonstrated by first-authored peer-reviewed journal papers or peer-reviewed conference proceedings papers.
- Strong organizational and communication skills.
Preferred Qualifications include
- Experience conducting qualitative research; experience with in-depth interviews on sensitive topics especially welcome.
- Demonstrated ability to work in multidisciplinary research teams.
- Background knowledge of data science and/or AI technologies; or of health disparities scholarship
- Preferred but not required areas of expertise include statistical and survey methods, qualitative interviewing, and proficiency with Qualtrix or similar software or interest in acquiring it.
Responsibilities include
- Working in collaborative lab-style environment with a project manager and graduate student and undergraduate researchers on PI grant projects.
- Sharing in lab manager duties including occasional mentorship, training, and oversight of junior researchers.
- Assisting with planning conferences related to research topics.
- Potential to co-author papers, including white papers and peer-reviewed publications, with research team.
- Participating in STS community events at Yale.
This position is for one year, renewable for a second year pending administrative approval. Salary range is $68,000-70,000.
The start date is flexible with an aim for August 1, 2024.
How to Apply:
Interested applicants should provide the following:
- Cover letter that includes: your qualifications based on the position details above; description of prior research experience including methods used; dates of availability; and names and contact information for at least two references. Please indicate whether you will be attending the 2024 4S (Society for the Social Study of Science) meetings for potential interview.
- Current CV
- Writing sample (20 pp max)
These materials should be submitted as one single PDF by July 10, 2024 to Kalindi Vora (kalindi.vora@yale.edu)
Postdoctoral Associate – Germinal Center B Cell Competition and Derived Malignancies (*new* Mlynarczyk Lab)
We are seeking a self-motivated and science-driven postdoctoral associate to join the laboratory of Dr. Coraline Mlynarczyk, opening 7/1/2024 at Yale University. Our lab is part of the Center of Molecular and Cellular Oncology (Yale Cancer Center) and Department of Medicine (Yale School of Medicine), with pending affiliation with the Departments of Immunobiology and Pathology. At the interface between Immunology, Cancer and Metabolism, our inter-disciplinary team will tackle how immuno-metabolic deregulation of germinal centers shapes B cell lymphomagenesis.
Building on our recent discovery of supercompetition as a key mechanism of malignant transformation of germinal center B cells (Mlynarczyk et al Science 2023), (1) the candidate will uncover how reprogramming of T-B immune synapse signals drives B cell competitive fitness in germinal centers and yields B cell lymphomas that are addicted to microenvironmental cues. Based on the candidate’s prior experience and interests, additional projects will focus on (2) elucidating how germinal center B cells and derived lymphomas satisfy their metabolic needs to sustain intense growth and proliferation; and (3) dissecting the biochemical mechanisms underlying elevated mRNA translation rates in these cells. Opportunities are also available to develop a novel line of investigation.
Training. The candidate will benefit from the lab’s expertise in precise mouse modelling of the immune response and B cell lymphomagenesis, complex immunological assays, in vivo metabolic flux analyses and high-dimensional flow cytometry. The candidate will carry out functional experiments using mouse models, immune and tumor cells, B cell lymphoma patient-derived xenografts and primary samples. With our collaborators, the candidate will implement state-of-the-art spatial analysis of lymphoid tissues (including single-cell transcriptional and metabolic flux profiles) and single-cell phospho-proteomics.
Mentoring. In the Mlynarczyk lab, each mentee will have short and long-term career development plans and the opportunity to discuss needs, receive and provide feedback yearly (or as needed). Weekly one-on-one meetings will support research progress (focused on experimental design, problem solving, data analysis and interpretation) and continuous development of the mentees. Postdoctoral Associates will write research proposals and receive mentoring for putting together competitive applications, present their work at conferences to engage with the scientific community, contribute to writing manuscripts, publish in peer-reviewed journals and be encouraged to build new collaborations with interdisciplinary experts, locally, nationally, and internationally. Dr. Mlynarczyk has a strong track-record of mentoring postgraduate and graduate students, research technicians and peers, of obtaining peer-reviewed competitive funding and publishing high quality science. Additional mentoring from peers and faculty members will be available from exposure to other labs at Yale and beyond.
Philosophy. We envision to establish ourselves as a new, exciting, and welcoming lab, where everyone can share ideas, provide feedback, and mentor each other. We hope to recruit people that share this spirit and have the desire to facilitate the growth of a new lab and carry out innovative and rigorous science in an evolving field. Discoveries will involve teamwork within the lab and with external collaborators and we are looking forward to fostering a dynamic, diverse, inclusive, and flourishing lab environment, allowing everyone to grow as a scientist and person.
Environment. Our team will initially be composed of 4 members and will grow as our research advances. Our lab is located at 300 George Street, 6th floor. We share the floor with a combination of young and well-established groups, forming a highly interactive, rich, and vibrant environment for trainees. An open laboratory space, shared floor lounge area and conference rooms will provide the space for fruitful interactions. The newly renovated and fully equipped mouse facility as well as flow core facility are located on the 2nd floor. There will opportunities to participate in multi-lab meetings, journal clubs, departmental research-in-progress seminars, and scientific retreats. Additionally, trainees will be integrated into the thriving research, education, and health-care communities as well as training and well-being programs across Yale University.
Qualifications. Applicants must have a recently obtained/upcoming PhD or MD/PhD degree in a relevant field and one first author publication in a peer-reviewed journal. Applicants should have experience in immunology, cancer biology, molecular biology, genetics/genomics or related fields. Experience with mouse work is encouraged but not required if the candidate wants to learn. Most important qualifications are high self-motivation, having a curious mind, enjoying doing science, and excellent written and oral communication skills. Candidates should also be highly organized, honest and reliable, have good attention to detail, be able to multi-task and perform both independently as well as in a team environment.
Responsibilities include:
- Conceptualization, designing and progressive independent execution of experiments to streamline the project’s aims
- Active participation in lab meetings, journal clubs, improving the team’s knowledge
- Providing input and guidance to more junior lab members
- Active fostering of cooperative projects with lab members and external collaborators
- Submitting fellowship applications and contributing to the lab grant proposals
- Helping with lab organization and upkeep, including mouse colony maintenance.
Compensation starts at $68,000 plus benefits. Start date is flexible.
How to apply. Candidates should send an email to coraline.mlynarczyk@yale.edu with “postdoctoral position, candidate’s full name” in the subject line and the following:
1. CV
2. Cover letter: brief statement of research experience, interests, motivation to join our lab and career goals.
3. Representative publications
4. Contact information for 3 references
Interested individuals are also welcome to reach out with any questions. We will review applications on a rolling basis starting June 10.
X (twitter) account @coraline_mly
Website coming soon.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Postdoctoral Associate in Genomics (Computational)
Yale University, Department of Genetics, Lake Lab.
We are seeking a motivated postdoc to join our growing team in the Yale Center of Genomic Health, Department of Genetics, Yale School of Medicine, the Lake Lab. Our lab uses computational and experimental methods to determine how genetic variation in mitochondria underlie health and disease in humans.
We are specifically looking for a postdoc to spearhead computational projects at the intersection of human genetics and mitochondrial genomics, who will apply and develop new approaches for analyzing genetic variants and their role in disease. We value diversity of backgrounds in our team and seek candidates who can commit to a multiyear appointment, reviewed annually. The start date can be flexible, and as soon as summer 2024.
The lab is in the Yale School of Medicine which offers an outstanding training environment for postdoctoral scientists, with state-of-the-art research facilities and vast resources to support professional development. For more information about our lab and publications see our website: https://www.thelakelab.org/
Responsibilities
- Use bioinformatic tools to analyze large-scale genomics datasets
- Develop and apply methods for analyzing genetic variation
- Prepare high-impact manuscripts for publication and conference presentations
- Attend and present at lab meetings, journal clubs, and departmental seminars
- Contribute to the mentoring of students and junior scientists in the lab
- Assist in the preparation of grant proposals
- Maintain code and pipelines, and support lab operations as needed
- Positively contribute to lab culture
Mentoring & Professional Development
The lab has a strong emphasis on mentorship and values the opportunity to train future leaders in genetics and genomics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals, interests, and needs, and provide ongoing support for the advancement of goals via regular meetings. Mentorship will be provided for fellowship applications, manuscript writing, presentations, and skills for independence.
The successful candidate will gain access to a range of career development opportunities at Yale. This includes seminars from internationally renowned researchers and ‘Meet the Speaker’ lunches, and professional development and networking activities via the Yale Postdoctoral Association, Yale Office for Career Strategy, and other offices at Yale.
Qualifications
Candidates should have or be close to obtaining a PhD in either genetics, genomics, computational biology, bioinformatics, or a related field.
Experience with programming languages and the command line interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, cloud computing, machine learning methods, and or statistical genetics.
The ideal candidate will also demonstrate:
- A high level of drive and initiative, and track record of impactful research outcomes
- Experience writing manuscripts published in peer-reviewed journals
- Ability to work both independently and as part of a team
- Eagerness to learn and establish new methods, and good problem-solving skills
- Excellent communication skills, both written and verbal
- Desire to contribute to the mentorship of students and junior scientists in the lab
- Experience in, or strong understanding of, human genetics research.
Position Information
This is a full-time, in-person position at Yale in the vibrant city of New Haven, Connecticut, with a competitive salary from $68,000 a year and access to a range of benefits.
Application Instructions
Please email (1) a cover letter summarizing your experiences, research interests, and career goals, and why you are interested in pursuing a postdoc in our lab, (2) your CV, including contact details of three references, and (3) when you are available to start, to Dr. Lake at nicole.lake@yale.edu using the subject ‘Postdoc Application - Lake Lab’. Applications will be reviewed on a rolling basis.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
POSTDOCTORAL ASSOCIATE - XR IN PEDIATRICS AT YALE (XRPEDS)
DEVELOPMENT OF TECHNOLOGY-BASED HEALTH PROMOTION EXPERIENCES FOR YOUTH
The XR in Pediatrics (XRPeds) Lab in the Department of Pediatrics at Yale University focuses on the use of extended reality technologies (virtual, augmented, and mixed reality) in research, clinical practice, and health education with the goal of improving lives and reducing health disparities among youth, young adults, and their families. We are seeking a Postdoctoral Associate with an interest in technology-based interventions (including augmented and virtual reality-based interventions (AR/VR)), serious games, health behavior or public health, clinical research, and appropriate experience to join our multidisciplinary team of researchers, pediatricians, and educators.
The Postdoctoral Associate will work with Drs. Hieftje and Marks XRPeds’ to support researchers, clinicians, and educators in the early stages of exploring and developing projects that utilize XR technology. The Postdoctoral Associate will therefore collaborate on multiple ongoing and upcoming research projects in areas as diverse as social VR-based support groups for oncology patients, substance use prevention interventions for adolescents, infection prevention training and simulation for family members of hospitalized patients, and the development and exploration of novel multisensory interfaces for XR experiences.
The lab has recently been awarded a grant from the US Centers for Disease Control and Prevention (CDC) with the goal to create two extended reality experiences. Both will focus on separate populations, but with the shared intended outcome of improving vaccine uptake and decreasing vaccine hesitancy and misinformation. The postdoctoral associate will spend the majority of their time in the lab focused on this challenging and interesting project.
The Postdoctoral Associate will gain skills in intervention development; recruitment of study participants; focus group/playtesting facilitation; pilot program evaluation; data collection, management, and analysis; developing a manuscript; and presenting findings to both community and academic audiences.
Furthermore, the Postdoctoral Associate will be expected to further XRPeds’ mission to provide outreach and programming to underserved youth within the community and will be involved in overseeing community-building events such as workshops and internships.
Skills and Qualifications
- PhD in Public Health, Education, Social Behavioral Sciences, Psychology or related field, interest or experience with digital interventions is helpful
- Excellent methodological and statistical skills, including working with qualitative and quantitative data
- Demonstrated ability (or potential to learn) to forge connections with community members
- Independence to lead a project as well as willingness to work in a team and learn new methods from collaborators
- Excellent scientific presentation and writing skills
This position is a one-year, full-time appointment with renewal contingent upon satisfactory performance and availability of funding and is eligible to start immediately.
Position begins July 1, 2024 as early as July 1st.
To Apply:
Interested applicants should submit the following materials via e-mail to: Dr. Kimberly Hieftje (kimberly.hieftje@yale.edu) and Dr. Asher Marks (//asher.marks@yale.edu/">asher.marks@yale.edu)
- A short letter of interest outlining your suitability for the position
- Curriculum Vitae or Resume
- A first-authored writing sample, if available
- 3 names of references
Reviews of applications will begin immediately.
Postdoctoral positions at the Department of Biomedical Informatics & Data Science at Yale School of Medicine
New Haven, Connecticut (USA)
About the postdoctoral project
We are seeking several highly motivated postdoctoral researchers in computational immunology to work on exciting projects focused on the development of multi-scale models of the immune system, with a focus on B and T cell biology. The team has a strong focus on machine learning and interpretable deep learning. However, more theoretically oriented candidates, interested in developing mathematical and mechanistic models of the immune system, are also encouraged to apply. The projects can be tailored to the candidate’s skills and preferences in the following areas:
- Developing interpretable deep learning approaches to model T cell receptors and B cell receptor binding, as well as for analyzing and integrating multi-omics datasets.
- Creating hybrid mathematical-AI models that combine mechanistic knowledge with AI to tackle challenges related to data scarcity, robustness, and generalization in existing data-driven models.
- Investigating and addressing uncertainties in AI models by adapting current reliability benchmarks for single-cell dataset analysis.
- Developing multi-scale mechanistic or data-driven models of the immune system, with a focus on T and B cell biology.
Candidate requirements
Candidates must have a PhD in Computational Biology, Bioinformatics, Systems Biology, or a STEM-related field (e.g., Mathematics, Physics, Computer Science). Those in the final stages of their PhD are also eligible to apply. A good understanding of molecular biology and/or immunology is considered an asset. The successful candidate should be capable of working both independently and as part of a team.
- Essential skills:
- Proficiency and hands-on experience in machine learning and deep learning.
- Strong programming skills, preferably in Python.
- Solid foundation in mathematical modeling, probability, and statistics.
- Ability to work collaboratively in an interdisciplinary team.
- Good to have:
- Experience in computational biology.
- Familiarity with multi-omics data analysis.
- Knowledge of interpretable deep learning methods.
- Good understanding of immunology and/or molecular biology.
- Soft skills
- Excellent English, both written and spoken, and strong communication skills
- Ability to work effectively in teams
- Ability and interest in mentoring junior scientists
- Strong problem-solving and critical-thinking skills
- Good time management and organizational skills
- Ability to work independently and take initiative
About the Supervisor
The primary supervisor for the project is Prof. María Rodríguez Martínez, an Associate Professor in the Department of Biomedical Informatics & Data Science at the Yale School of Medicine. More about Prof. Rodríguez Martínez can be found here https://medicine.yale.edu/biomedical-informatics-data-science/profile/maria-rodriguezmartinez/.
About the department
The Department of Biomedical Informatics & Data Science (BIDS) is a new department at the intersection of health sciences and information technology. It develops new approaches to organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found https://medicine.yale.edu/biomedical-informatics-data-science/
Postdoctoral Associate Position in Pediatric Critical Care Medicine
We are currently seeking full-time Postdoctoral Associates to be part of our NIH-funded research team at Yale. Our research primarily investigates the outcomes following extracorporeal membrane oxygenation (ECMO) in pediatric critical care.
Research Focus:
The successful candidate will support two primary studies:
- A qualitative study assessing the impact on parents of children undergoing ECMO, with a focus on post-traumatic stress disorders, anxiety, and depression.
- An international point-prevalence study to examine the epidemiology and risk factors associated with mental health conditions in these parents.
In supporting these studies, the successful candidate is expected to engage in a variety of research activities including drafting the research protocol in collaboration with the primary investigator, submitting the protocol to the Institutional Review Board (IRB), conducting interviews with parents, collaborating on data analysis, coordinating the international study, developing the case report form, analyzing the research data, and drafting manuscripts for publication.
Training, Mentorship, and Career Development:
The role provides significant opportunities for hands-on experience in pragmatic clinical studies, mixed methods research, and collaborative work across multidisciplinary, multi-site teams.
You will work directly under the guidance of Dr. Oliver Karam, MD, PhD, and collaborate with experts in implementation science, health services research, biostatistics, trauma-related psychopathologies, and critical care research.
The position also includes professional development opportunities such as mentorship, participation in national conferences, grant writing support, and engagement with the broader Yale academic community through seminars and events.
Skills and Qualifications:
- MD degree required (completed before the start of the postdoctoral term).
- Experience in pediatrics.
- Excellent communication, analytical, and problem-solving skills.
- Proficient in both quantitative and qualitative research methodologies.
- Ability to work independently and collaboratively.
- Strong project coordination skills, with experience managing studies across multiple regions. Fluency in at least two European languages is preferred.
- Strong interpersonal skills with effective team collaboration capabilities.
Application Process:
Candidates interested in applying should send the following materials to Dr. Oliver Karam, MD, PhD, via email at oliver.karam@yale.edu:
- A brief letter of interest highlighting your qualifications for the role.
- Curriculum Vitae or Resume.
- A first-authored writing sample.
- Contact information for three references.
Appointment Details: This position is a full-time role, lasting six to twelve months, starting in September 2024, with reviews of applications beginning immediately. Please note, the position is non-renewable.
Postdoctoral position in Steven Tang’s lab in Molecular Biophysics and Biochemistry
Steven Tang’s laboratory in the department of Molecular Biophysics and Biochemistry (MB&B) at Yale University invites applications for a postdoctoral position. The successful candidate will be driving cutting-edge research into the mechanisms and engineering of cell-cell fusion and receptor signaling in human physiology and infectious disease. The successful candidate is expected to be proficient in recombinant protein expression and purification, molecular biology, structural biology (X-ray crystallography or CryoEM), cell and tissue culture. Experience working with rodent models is preferred but not required. The successful candidate should have excellent oral and written communication skill, be highly motivated for career development in independent research. The successful candidate will work in a team of fellow trainees in the lab. Learn more about the Tang lab at https://www.steventanglab.com.
The Tang lab is committed to training, teaching, mentoring, and enabling the next generation of scientists and scholars. The successful candidate should expect to gain extensive research experience in several of the following scientific areas: protein biochemistry, cell biology, structural biology, protein engineering, antibody discovery, reproductive biology, and immunology. The successful candidate will receive the scientific, communication, and leadership skills for their career development.
Fundamental to human development and disease, cell-cell fusion is essential in fertilization, muscle regeneration, placental formation, tissue regeneration, and cancer progression. Research in the Tang lab focuses on decoding and rewiring the cell-surface interactomes for cell-cell fusion and cell-surface receptor signaling. The Tang lab uses structural biology, cell biology, and protein engineering to investigate receptor-mediated cell-surface recognition and the molecular machine for membrane fusion. The Tang lab exploits mechanistic and structural knowledge on these molecular interactions to enable design and development of protein-based therapeutics and vaccines.
Applicants should have at least one first-author publication in a peer-reviewed journal. Applicants should hold or expect to receive a Ph.D. (or equivalent.) in biochemistry, structural biology, cell biology, or a related field. Please email a cover letter, CV, and three names of reference to Steven directly at shaogeng.tang@yale.edu.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Postdoctoral Associate Position in Metabolic Inflammation
-The Xinshou Ouyang Lab
-Department of Internal Medicine
A postdoctoral associate position is immediately available for a NIH funded project in the Ouyang lab at Yale University, focusing on research related to metabolic inflammation in the context of obesity, insulin resistance, and NASH/ASH. The lab is dedicated to advancing the understanding the core metabolic signaling in the control of inflammation, emphasizing the impact of RNA metabolism on metabolic disease pathogenesis.
Successful candidate will lead exciting new projects in RNA metabolism including RNA epigenetics and RNA binding proteins in metabolic diseases. They will utilize cell and molecular biology methods, advanced techniques (scRNA-seq, eCLIP-seq, etc.), and genetic animal models to uncover the protein function in RNA metabolism at both cellular and organismal levels. For additional information, please visit our website (https://medicine.yale.edu/profile/xinshou-ouyang/).
Qualifications:
- We are seeking candidates with a Ph.D. in cell and molecular biology, immunology, pharmacology, biomedical science, or a closely related field.
- Preferred qualifications include experience in cell culture and animal experimentation.
- Successful candidates should demonstrate strong motivation, ability work independently and in a team, a proven track record of productivity through peer-reviewed publications, effective communication skills, and less than three years of prior postdoctoral experience.
Benefits:
- We offer personalized career development plans and comprehensive training programs for all lab members.
- Yale University provides access to a wide range of resources, including cutting-edge research facilities, specialized centers, and programs to support our members’ success.
- The lab collaborates closely with various Yale entities, such as the Yale Center for Genome Analysis (YCGA), Mass Spectrometry and Proteomics Resource at the W.M. Keck Foundation Biotechnology Resource Laboratory, Yale Metabolomics Facility, Yale Flow Cytometry Facility, Yale Stem Cell Center, and Yale Institute of Biomolecular Design and Discovery.
- We engage in research collaborations with Yale experts in Immunology, Endocrinology, Pharmacology, Yale Center for RNA Science and Medicine, Yale Computational Biology and Bioinformatics, as well as renowned outside institutions like the Massachusetts Institute of Technology (MIT) and the National Center for Advancing Translational Sciences (NCATS).
- The lab has a strong publication record in prestigious journals, including Cell Metabolism, Nature Communication, Science, Journal of Hepatology, Cell Death & Differentiation, Cell Reports, and more.
How to Apply:
To apply, please send a cover letter expressing your interest, your current CV, and the contact information of three references to Dr. Xinshou Ouyang, via email at xinshou.ouyang@yale.edu.
A NIH-funded post-doctoral position is available in the laboratory of Susan J. Baserga, MD, PhD, in the Departments of Molecular Biophysics and Biochemistry at Yale University and the Yale School of Medicine. The successful candidate will be driving research into the mechanistic biochemical and physiological aspects of how ribosomes are made in eukaryotic cells using model systems ranging from human cell lines and mice to Saccharomyces cerevisiae and Xenopus tropicalis. The successful candidate will not only gain extensive experience working in these model systems but will also receive expert career mentoring. They will develop skills in a wide range of basic biochemical and genetic techniques including, but not limited to, high throughput screening, northern blots, western blots, qPCR, subcellular fractionation, co-immunoprecipitation, immunofluorescence and RNA-seq.
Ribosome biogenesis is essential for cells and developing organisms. As such, ribosome production is often dysregulated in cancer and is implicated in a growing number of congenital human genetic diseases known as the ribosomopathies (a recent paper from our laboratory can be found here at Bryant et al PNAS https://www.pnas.org/doi/full/10.1073/pnas.2017777118). We have also uncovered strong evidence to support a role for the nucleolus and ribosome biogenesis in embryonic development, neurodegenerative diseases, cytoskeletal integrity, and DNA repair, among other cellular processes and diverse signaling pathways (see our papers in Cell Reports, 2018; Molecular Biology of the Cell 2021). This year we have published a landmark study on how microRNAs regulate the making of ribosomes (Nucleic Acids Research 2024), leading us in an entirely new scientific direction to relevant questions of human brain development. The successful candidate will conceptualize and design original research among these themes and execute it in an environment that values teamwork, camaraderie, and intellectual curiosity.
Candidates must be highly-motivated and have a PhD in the biological sciences, with a degree in biochemistry, genetics, cancer biology, developmental biology, or cell biology preferred. A high level of proficiency in basic laboratory techniques is also required.
For more information about the Baserga laboratory please visit our website at https://basergalab.yale.edu/. If you are interested in this position, please send your CV and cover letter to Dr. Susan J. Baserga at susan.baserga@yale.edu.
Postdoctoral position developing novel optical microscopy tools for deep tissue in vivo imaging
Lab: Rodríguez Lab, Department of Biomedical Engineering, Yale University | rodriguezlab.yale.edu
PI: Cristina Rodríguez, cristina.rodriguez.cr876@yale.edu
Lab description: The Rodríguez Lab is a new lab in the Department of Biomedical Engineering at Yale University. Its focus is to develop and apply optical tools for imaging deep into biological tissues with high spatial resolution. Using a multidisciplinary approach involving physics, nonlinear optics, and microscopy development, the Rodríguez Lab seeks to advance our understanding of previously underexplored biology. In particular, we are interested in applying our technological advances to neurobiological questions.
For an example of previous work, please see: https://www.nature.com/articles/s41592-021-01279-0.
In the Rodríguez Lab we believe it is within diverse communities – where everyone feels welcomed, valued, and supported – that groundbreaking ideas and creative achievements are born. Everyone is encouraged to bring their entire self to the lab and find space for self-expression through science. If this resonates with you, please get in touch!
Job details: We are looking for a Postdoctoral Associate with experience designing/building/aligning optical systems. The ideal candidate will hold a Ph.D. in physics, optical engineering, biomedical engineering, or related field (or will graduate within the next months). In this position you will have the opportunity to design and build a multiphoton microscopes and develop state-of-the-art optical tools (e.g., wavefront shaping) for deep tissue biological imaging, including the brain and spinal cord. For this position, an interest in learning neurobiology is strongly encouraged.
The interdisciplinary and highly collaborative environment of the Department of Biomedical Engineering at Yale, as well as the strong and rapidly growing biomedical imaging community, will provide an exceptional environment for conducting postdoctoral training. Moreover, since research in the Rodríguez Lab lies at the interface between cutting-edge optical microscopy and neurobiology, the holder of this position will benefit immensely from the strong neuroscience community at Yale – including the recently established Wu Tsai Institute – which will provide many exciting opportunities for collaborations.
How to apply: Interested candidates please reach out to cristina.rodriguez.cr876@yale.edu. Include your CV and a one- page description of your research interests and why you would like to join our lab. Please be prepared to provide contact information for three references upon request. Candidates will be reviewed on a rolling basis until the position is filled.
More information on being a Postdoctoral Associate at Yale can be found at:
· Yale Postdoctoral Association
· Office for Postdoctoral Affairs
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly encourages applications from underrepresented minorities, women, persons with disabilities, and protected veterans.
Postdoctoral Associate Position, School of Public Health and Department of Biostatistics
New Haven, Connecticut
We are actively recruiting a postdoctoral associate to join the Public Health Data Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics.
The postdoctoral associate will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on analysis of electronic health records and real world healthcare data and global health. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. The position is for one year, and is renewable for a second year based on satisfactory performance and progress.
The postdoctoral associate will actively participate in methodological and collaborative research and support writing research grants. Professional development will be an integral part of the position. This position offers postdocs the opportunity to develop expertise in analyzing complex non-probability observational samples and get involved in exciting applications harnessing data from multiple different biobanks. The position will also provide a solid foundation to build a research career in academia, government, or industry.
Qualifications:
- Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field by August 1, 2024
- Strong oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting
- Proficiency with statistical computing (e.g., R, Python or C/C++)
- Demonstrated capacity to work both collaboratively and independently
- Strong strategic, analytical, and problem-solving skills
- Strong interpersonal and project management skills to facilitate timely and professional deliverables
- Experience with causal inference, machine learning, and artificial intelligence is desirable
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Work Modality: Flexible, hybrid working arrangements could be accommodated if needed
Expected Start Date: September 1, 2024
To apply:
Interested individuals should submit a (1) CV, (2) cover letter that addresses their specific interest in this position, skills and experiences directly related to this position, and highlight overall research interests and plan, and (3) contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Please apply online: http://apply.interfolio.com/144336
Questions regarding this position should be directed to ysphfacultyaffairs@yale.edu.
Additional information on the Yale School of Public Health, the Department of Biostatistics and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Department of Pathology Yale School of Medicine
Postdoctoral Position
The Katz Laboratory in the Department of Pathology at Yale School of Medicine seeks applicants for an open Postdoctoral position. Accomplished PhD graduates seeking postdoctoral fellowship training in translational immunotherapy are invited to apply to the laboratory of Samuel Katz, MD, PhD, Associate Professor of Pathology.
Adoptive cell therapy with tumor infiltrating lymphocytes (TILs) is a highly promising form of immunotherapy. TILs are isolated from a tumor, amplified ex vivo to attain a pure and highly active T cell population and infused back into patients to achieve objective response rates of up to 55% in melanoma. Recent work has focused on single cell analysis of the ex vivo expanded TIL to identify targetable pathways through cellular reprogramming that may enhance TIL function. The Katz Laboratory employs a multidisciplinary approach including human T cell reprogramming, mouse modeling, and spatial transcriptomics. Our effort is highly cooperative through close collaborations with Drs. Marcus Bosenberg, a leader in melanoma biology and the Director of the Yale Center for Immuno-Oncology; Diane Krause, the director of the advanced cell therapy lab at Yale; Mike Hurwitz, an oncologist in clinical cell therapy, and Yang Liu, a developer of novel spatial transcriptomic technologies.
Big picture questions of interest include:
- How to enhance TIL survival and cytotoxicity?
- How to shift TIL products to more stem/central memory phenotypes?
- How to enrich for tumor-antigen specific TIL?
The Postdoctoral Fellow will be trained to develop an independent research career under the mentorship of Drs. Katz and Bosenberg. Motivated self-starters with exceptional writing and presentation skills and expertise in immunology, culturing primary human T cells, flow cytometry, mRNA production and electroporation, and patient derived xenografts are preferred. Interested candidates should forward a cover letter highlighting relevant qualifications (i.e., laboratory skills, publication record) and research interests, curriculum vitae, one sample publication, and the names and addresses of three references via e-mail to Dr. Katz.
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
Postdoctoral Associate - Cancer Survivorship and Tobacco Prevention and Cessation Among Survivors
Posting Date: April 4, 2024
A full-time Postdoctoral Associate position is available within the Yale School of Nursing to assist with the project implementation and closely work with Dr. Hermine Poghosyan. This is a one-year position with a potential to extend for another year and with a start date; July 1st, 2024.
We are seeking a highly motivated and creative Postdoctoral Associate with a strong research background to participate as a professional team member and contribute to ongoing research projects in cancer health disparities, tobacco control and cessation. We are seeking scholars with research interests in cancer health disparities, cancer survivorship, lung cancer screening, and tobacco prevention and cessation among cancer survivors. In this position, the scholar will be encouraged to conduct mentored and independent research with an emphasis on study inception, manuscript writing, and applying for grants and will also have opportunities to further develop their skills as an independent researcher under the mentorship of Dr. Poghosyan.
Responsibilities include:
- Assisting the research team in handling data produced from quantitative and qualitative approaches
- Creating analytic databases
- Developing analytical models under the guidance of the Investigators and the Biostatistician
- Providing support with literature reviews, data analysis, and dissemination of study findings through publications and presentations
- Leading and collaborating on peer-reviewed manuscript publications
- Maintaining IRB compliance and updating IRB protocols as necessary, and
- Performing other duties as assigned.
- Collaborating proficiently and communicating effectively with colleagues and management teams
- Being able to design and perform hands on experiments and maintain detailed documentation
Qualifications:
- Must have a PhD in a field applicable to cancer research and associated experience in a health-related area such as public health, nursing, psychology, health policy, social or behavioral sciences, or another relevant field.
- All requirements of the doctoral degree must be completed before the position start date.
- Recent PhD graduates and candidates with prior postdoctoral experience are both appropriate.
- Primary research interests should be in the areas of cancer health disparities; cancer survivorship; lung cancer screening behavior; tobacco prevention and cessation among cancer survivors.
- Have a high level of pre-doctoral publication activity
- Have excellent analytic and writing skills and demonstrated potential of scholarly research including content-relevant peer-reviewed publications.
- Knowledge of using statistical software, Stata.
- Be able to interpret statistical output and work independently as well as collaboratively
Preferred Education, Experience and Skills:
- A PhD in Nursing is preferred.
- Strong data analytical skills.
- Experience using and analyzing population-based data.
- Excellent past academic performance evidenced with publications.
Compensation
- Information about salary, benefits, and career development opportunities can be found at https://postdocs.yale.edu/postdocs.
To apply: Please submit a CV, letter of research interests, 3-5 reprints/preprints of publications, and the names and contact information of three individual references to: Dr. Hermine Poghosyan (Hermine.Poghosyan@yale.edu) AND Cindy DeCoste, Research Project Coordinator (Cindy.DeCoste@yale.edu)
Yale University is an Affirmative Action/Equal Opportunity Employer and values diversity among its students, faculty, and staff. We welcome applications from women, persons with disabilities, underrepresented minority groups, and protected veterans.
Postdoctoral Associate Position in Computational Genomics
The laboratory of Jihoon Kim at the Section of Biomedical Informatics and Data Science, Yale School of Medicine is seeking a computational genomics/bioinformatics postdoctoral associate. The research program in this lab focuses on computational genomics in application to human disease using registries and biobanks including All of Us Research Program, Million Veterans Program, and UK Biobank, either a single biobank or cross-biobanks using federated learning. Current research projects aim to identify genetic variants/genes associated with disease traits (susceptibility/treatment response/progression) toward personalized medicine and unravel disease pathogenesis through analyses of different types of omics data including but not limited to whole genome sequencing, messenger RNA-seq, cell-free RNA-Seq, and proteomics (e.g., Somascan) obtained from the same patients along with linked clinical phenotype.
The Kim lab is well funded by NIH and private sources. The successful candidate will have a great opportunity to publish several high-quality papers in collaboration with top-notch investigators during his/her stay. The successful candidate will receive comprehensive and personalized training in research and career development and will have extensive opportunities for independent and collaborative research.
RESPONSIBILITIES:
Under the supervision of the principal investigator (Dr. Jihoon Kim), the successful candidate will
- work on study design, data collection, data management, analysis pipeline development, data analysis, and results interpretation, as well as manuscript writing
- develop novel bioinformatics methods
- publish high-quality papers reporting on methodological and biological advances
- present at conferences
- participate grant proposal preparation
- collaborate with other researchers
- teach/mentor other lab members
QUALIFICATIONS:
- Ph.D. in bioinformatics, computational biology, computer science, statistics, genetics or related field required by the start date
- Demonstrated ability to design, implement, and apply for the analysis of high-throughput omics data
- Demonstrated expertise in implementing bioinformatics methods and software tools
- Demonstrated ability to effectively communicate computational biology problems to clinicians, peers, subject matter experts and investigators
- Independent, highly motivated and highly collaborative with ability to work in a team environment
- Strong communication skills in English (spoken and written)
APPOINTMENTS, COMPENSATION, and BENEFITS:
This position is a full-time, 12-month appointment renewable on a yearly basis. The details of compensation and benefits can be found at the Yale Postdoctoral Affairs website:
- Compensation: https://postdocs.yale.edu/policies/postdoc-compensation
- Benefit: https://postdocs.yale.edu/applicants/yale-benefit-summary
HOW TO APPLY:
Submit the following materials to the principal investigator Dr. Jihoon Kim at jihoon.kim.jk2895@yale.edu
- Cover letter that includes a summary of research interests
- Curriculum Vitae (CV)
- Contact information of 3 references
Yale University is an affirmative Action/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans and members of minority groups.
Review of applications will begin immediately and will continue until the position is filled.
Postdoctoral Associate – Yale Imaging and Psychopharmacology Lab
The Yale Imaging and Psychopharmacology (YIP) Lab at Yale University School of Medicine (PI: Dr. Sarah Yip) is seeking a Postdoctoral Research Associate for a 2-3 year appointment working at the interface between neuroimaging, computational psychiatry and predictive analytics. Appointments are available to start in June 2024 or sooner.
The postdoctoral associate will join a diverse, interdisciplinary team committed to understanding brain-behavior relationships using data from both large-scale data initiatives (e.g., ABCD, UKB) and from curated clinical cohorts (e.g., densely sampled longitudinal fMRI data acquired during treatment for substance use disorders). In addition to developing their own research program, the successful candidate will contribute to multiple NIH funded awards. Our lab is primarily located within Psychiatry and collaborates closely with colleagues in Yale’s Child Study and Magnetic Resonance Research Centers. Thus, there are multiple opportunities for translational research.
Qualifications: PhD, MD or MD/PhD in neuroscience, neuroimaging, statistics, psychology, engineering or a related field is required. Previous experience working with neuroimaging and/or computational modeling is required. Fluency in Python, R or similar strongly preferred.
Compensation: The minimum starting salary for this position is $65,000 and fellows will be provided additional funding for discretionary research expenses, including travel.
Yale School of Medicine has an outstanding track record of mentoring national and international postdoctoral scholars from a wide variety of research and clinical backgrounds. Prior fellows in the Yale Imaging and Psychopharmacology Lab have all gone on to either competitive faculty or industry positions upon completion of their postdoc.
The Yale Imaging and Psychopharmacology Lab is committed to cultivating an inclusive and collaborative multidisciplinary environment. We encourage applications from scholars committed to our mission to build a thriving, collaborative, diverse, and inclusive research community.
To apply: Please e-mail a brief letter of interest describing your current experience, skills, and how your future goals align with this position, along with an up-to-date CV and contact information for three references directly to sarah.yip@yale.edu. Please also feel free to direct informal inquiries about this position to sarah.yip@yale.edu.
POSTDOCTORAL ASSOCIATE
The Yale Center for Emotional Intelligence (https://www.ycei.org), part of the Child Study Center at the Yale School of Medicine, conducts research and teaches people of all ages how to develop their emotional intelligence. Our work focuses on (1) the development of social and emotional skills among diverse populations in education settings and organizations, and (2) the mechanisms by which social and emotional skills and training impact significant life outcomes.
We are seeking a highly motivated, full-time Postdoctoral Associate to join the interdisciplinary research team at the Yale Center for Emotional Intelligence to support the Mirror to the World program of research funded by the Templeton Religion Trust. The primary object of the project is to investigate emotional and cognitive effects of engagement with art. The Postdoctoral Associate’s primary responsibility will be to lead data collection, analyses, and writing research articles for publication in academic journals. Results will directly inform and impact how the arts can be used to promote creativity and emotion skills.
KEY RESPONSIBILITIES
- Oversee, conduct, and assist with quantitative and qualitative data collection and analyses, including data management, cleaning and reporting.
- Lead or participate in the design of future studies, literature reviews, development of research protocols, and working with other team members to collect and analyze data.
- Interpret and communicate results effectively in various formats.
- Prepare and publish manuscripts in peer-reviewed journals and present research findings at conferences in areas relevant to the study, possibly in collaboration with other YCEI members.
- Collaborate efficiently and effectively with other researchers.
The Postdoctoral Associate will benefit from mentorship on academic advancement and participate in multiple professional development trainings and opportunities (e.g., developing public speaking skills, attending YCSC postdoc seminar series, presenting research from the project at conferences). The Postdoctoral Associate will have flexibility to develop their specific research focus within the context of the project team’s expertise and the needs of the larger project.
The Postdoctoral Associate position is a full-time appointment for one year, with full benefits, and with the possibility of renewal for two more years, dependent upon performance and availability of funding. Information on benefits for postdoctoral appointments can be found at https://postdocs.yale.edu/applicants/yale-benefit-summary. This is not a remote opportunity. This position is located at the Child Study Center on the campus of Yale University in New Haven, CT. In accordance with the university’s postdoc office policy, all trainees are expected to complete their training on campus.
SKILLS & QUALIFICATIONS
The ideal candidate will have or demonstrate the following:
- Ph.D. in a relevant field or discipline such as psychology, sociology, or education
- Specialization or research experience in the study of psychology of art, and/or relevant area
- Competence in quantitative research methods
- Strong analytical skills and use of statistical packages and analyses (e.g., SPSS, R)
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
- Strong track record of publications and research outputs commensurate with career stage
- Excellent writing skills demonstrated in academic publications
- Exceptional project management and organizational skills, including effective time management
- Ability to work both independently with minimal supervision and collaboratively
- Ability to interact and communicate effectively (e.g., through writing, presentations) with different audiences (research community, general public)
TO APPLY
Qualified candidates should email Whitney Sanders at yceiresearch@yale.edu with the subject line “Postdoc Applicant, TRT: [YOUR NAME]”. Please include the following application materials:
- (1) Current Curriculum Vitae (CV)
- (2) Cover letter describing your research background, key research accomplishments, interests, career goals, and motivation for the position (2 pages maximum)
- (3) An example publication that demonstrates your skills
- (4) Contact information for 3 references
To apply, please submit the above materials by April 30th, 2024.
For questions about the position, email Zorana Ivcevic Pringle (Zorana.ivcevic@yale.edu).
Anticipated start date is September 1, 2024.
Eligibility Requirements
To be eligible for a postdoctoral appointment, candidates must hold a Ph.D., or equivalent degree from a program in relevant field or discipline. When a candidate has completed all the requirements for a degree, but the degree has not yet been formally conferred, the candidate may present evidence of completion of the degree, together with a statement of the date on which the degree is to be conferred.
ABOUT THE YALE CENTER FOR EMOTIONAL INTELLIGENCE
Emotions drive learning, decision making, creativity, relationships, and health. The Yale Center for Emotional Intelligence uses the power of emotions to create a healthier, and more innovative, productive, and compassionate society. We conduct research and design educational approaches that support people of all ages in developing emotional intelligence and the skills to thrive and contribute to society. Schools are at the center of these efforts. RULER, the Center’s signature program, draws on leading pedagogical practices as well as advances in psychology and neuroscience, and it has been honed through years of collaboration, classroom observation, interviews, and the most demanding evaluations. Creating awareness—both of self and others—about emotions and developing the skills of emotional intelligence can improve children’s prospects in life and contribute, in turn, to healthier, more compassionate families, workplaces, and communities. RULER does this by teaching adults and children the skills of emotional intelligence. Since 2005, more than 5,000 schools across 27 countries have implemented RULER, affecting the lives of over 4 million students. Accordingly, we integrate emotional intelligence skill building, the basis of RULER, into their everyday practices and into classroom curricula across grade levels. The Yale Center for Emotional Intelligence is a self-supporting unit within the Child Study Center. The Yale Child Study Center serves as the Department of Child Psychiatry for the Yale School of Medicine. The Child Study Center, and more broadly, the Yale School of Medicine is a vibrant and exciting training environment for young researchers with extensive opportunities for networking and career development: https://postdocs.yale.edu/.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
The university strongly encourages all students, faculty, staff, postdoctoral/postgraduate trainees, and visitors to receive all COVID-19 vaccinations that are recommended by the Centers for Disease Control and Prevention and for which they are eligible. For additional information, please visit https://covid19.yale.edu/.
Postdoctoral Researcher Position in the Hu lab, Yale University School of Medicine
Overview
Dr. Wei Hu’s laboratory at Yale University School of Medicine is recruiting a postdoctoral researcher to join their interdisciplinary team. The Hu Lab is jointly affiliated with the Department of Immunobiology and the Institute of Biomolecular Design and Discovery (IBDD), working at the interface between immunology and chemical biology. The lab utilizes cutting-edge genetic, biochemical, and chemical tools to explore the biology of regulatory T (Treg) cells across various physiological and pathological contexts, including autoimmunity, cancer, and maternal-fetal immunity. The overarching goal is to unravel the context-specific functions of Treg cells at the cellular and molecular levels and develop strategies to manipulate Treg cells for disease intervention. For detailed information, please visit our lab website: www.weihulab.org.
We welcome scientists from diverse backgrounds to join our growing team. The unique dual affiliation with the Department of Immunobiology and IBDD provides an exceptional opportunity for interaction with two vibrant scientific communities at Yale, enabling you to expand your scientific knowledge and vision. You will benefit from regular interaction and prompt feedback from the principal investigator, as well as the flexibility to explore different research directions based on your expertise and interests. Our commitment to the professional growth of team members includes encouraging applications for fellowships and awards, participation in courses and conferences, and engagement in networking and career development activities.
Responsibilities
In collaboration with the principal investigator and aligned with the lab’s overarching theme, the postdoctoral researcher will:
- Conduct specific research assignments and develop new projects based on personal interests. This involves conceiving projects, designing research strategies, conducting experiments, analyzing and interpreting data, presenting progress in lab meetings and departmental seminars, and preparing manuscripts for publication.
- Provide technical and scientific expertise to assist and advise other lab members.
- Assist the PI in laboratory management and contribute to the development of funding proposals.
Requirements
- Hold a Ph.D. in Biomedical Sciences, Chemistry, or a related field at the time of hiring. A strong background in reproductive biology, functional genomics, chemical biology, or mouse genetics is highly desirable.
- Demonstrate a passion for scientific discovery, possess the ability to work independently, and be willing to collaborate with team members.
Salary and Benefits
The salary aligns with the compensation guidelines for postdoctoral researchers at Yale University. The University provides health plans, paid leave, parenting leave, and additional benefits. For more details, please refer to the following links:
Compensation: https://postdocs.yale.edu/policies/compensation
Benefits: https://postdocs.yale.edu/applicants/yale-benefit-summary
How to Apply
Please submit a cover letter, curriculum vitae, and contact information for 2-3 references to wei.hu.wh447@yale.edu. The review of applications will commence immediately, with interviews scheduled for highly rated candidates. The hiring process will continue until the positions are filled.
POSTDOCTORAL ASSOCIATE
The Yale Center for Emotional Intelligence (https://www.ycei.org), part of the Child Study Center at the Yale School of Medicine, conducts research and teaches people of all ages how to develop their emotional intelligence. Our work focuses on (1) the development of social and emotional skills among diverse populations in education settings and organizations, and (2) the mechanisms by which social and emotional skills and training impact significant life outcomes.
We are seeking a highly motivated, full-time Postdoctoral Associate to join the interdisciplinary research team at the Yale Center for Emotional Intelligence to support an implementation study of RULER (https://rulerapproach.org) in early childhood settings funded by the Institute of Education Sciences. This study is a collaboration among researchers across several institutions. The Postdoctoral Associate’s primary responsibility will be to lead data and dissemination efforts. Results will directly inform and impact RULER, early childhood education, implementation science, and social and emotional learning.
KEY RESPONSIBILITIES
- Collaborate with project partners.
- Oversee, conduct, and assist with quantitative analyses, including data management, cleaning, and reporting.
- Interpret and communicate results effectively in various formats.
- Prepare and publish manuscripts in peer-reviewed journals and present research findings at conferences in areas relevant to the study, possibly in collaboration with other YCEI members.
- Collaborate efficiently and effectively with other researchers.
The Project Director, Dr. Craig Bailey, will oversee day-to-day work assignments and serve as the primary supervisor. The Postdoctoral Associate will have flexibility to develop their specific research focus within the context of the project team’s expertise and the needs of the larger project. The Postdoctoral Associate will benefit from mentorship on academic advancement and participate in multiple professional development trainings and opportunities (e.g., developing public speaking skills, attending YCSC postdoc seminar series, presenting research from the project at conferences).
The Postgraduate Associate position is a full-time appointment for one year, with full benefits, and with the possibility of renewal for a second year, dependent upon performance and availability of funding. Information on benefits for postdoctoral appointments can be found at https://postdocs.yale.edu/applicants/yale-benefit-summary. This is not a remote opportunity. This position is located at the Child Study Center on the campus of Yale University in New Haven, CT. In accordance with the university’s postdoc office policy, all trainees are expected to complete their training on campus.
SKILLS & QUALIFICATIONS
The ideal candidate will have or demonstrate the following:
- Ph.D. in a relevant field or discipline such as psychology, sociology, education, and data science
- Specialization or research experience in the study of implementation science, emotional intelligence or emotions, and/or relevant area
- Competence in quantitative research methods
- Strong analytical skills and use of statistical packages and analyses (e.g., SPSS, Stata, R)
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
- Strong track record of publications and research outputs commensurate with career stage
- Excellent writing skills demonstrated in academic publications
- Exceptional project management and organizational skills, including effective time management
- Ability to work both independently with minimal supervision and collaboratively
- Ability to interact and communicate effectively (e.g., through writing, presentations) with different audiences (research community, general public)
TO APPLY
Qualified candidates should email Whitney Sanders at yceiresearch@yale.edu with the subject line “Postdoc Applicant: [YOUR NAME]”. Please include the following application materials.
- (1) Current Curriculum Vitae (CV)
- (2) Cover letter describing your research background, key research accomplishments, interests, career goals, and motivation for the position (2 pages maximum)
- (3) An example publication or dataset that demonstrates your skills
- (4) Contact information for 3 references
Priority will be given to candidates who apply by April 19th, 2024, at 5:00PM. Applications will continue to be accepted but those received after April 19th will only be considered if the position has not yet been filled.
For questions about the position, email Craig Bailey (craig.bailey@yale.edu).
Anticipated start date is July 1, 2024.
Eligibility Requirements
To be eligible for a postdoctoral appointment, candidates must hold a Ph.D., or equivalent degree from a program in relevant field or discipline. When a candidate has completed all the requirements for a degree, but the degree has not yet been formally conferred, the candidate may present evidence of completion of the degree, together with a statement of the date on which the degree is to be conferred.
ABOUT THE YALE CENTER FOR EMOTIONAL INTELLIGENCE
Emotions drive learning, decision making, creativity, relationships, and health. The Yale Center for Emotional Intelligence uses the power of emotions to create a healthier, and more innovative, productive, and compassionate society. We conduct research and design educational approaches that support people of all ages in developing emotional intelligence and the skills to thrive and contribute to society. Schools are at the center of these efforts. RULER, the Center’s signature program, draws on leading pedagogical practices as well as advances in psychology and neuroscience, and it has been honed through years of collaboration, classroom observation, interviews, and the most demanding evaluations. Creating awareness—both of self and others—about emotions and developing the skills of emotional intelligence can improve children’s prospects in life and contribute, in turn, to healthier, more compassionate families, workplaces, and communities. RULER does this by teaching adults and children the skills of emotional intelligence. Since 2005, more than 5,000 schools across 27 countries have implemented RULER, affecting the lives of over 4 million students. Accordingly, we integrate emotional intelligence skill building, the basis of RULER, into their everyday practices and into classroom curricula across grade levels. The Yale Center for Emotional Intelligence is a self-supporting unit within the Child Study Center. The Child Study Center serves as the Department of Child Psychiatry for the Yale School of Medicine. The Child Study Center, and more broadly, the Yale School of Medicine is a vibrant and exciting training environment for young researchers with extensive opportunities for networking and career development: https://postdocs.yale.edu/.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
At our Center, we specialize in providing training and conducting research tailored to prek-12 schools and districts, with a focus on supporting the implementation of social and emotional learning (SEL) skills within educational settings.
OPTIONAL: Add if you’d like:
-An example of academic writing
-A peer-reviewed, published article; and
- Short (ca. 2,000 words long) proposal about a research project you would like to develop at the YCEI, indicating the problem to be addressed, the working hypothesis about the solution, and the methodology that may be used.
Postdoctoral Positions in Mucosal Immunity and Intestinal Inflammation (Dr. Clara Abraham)
Investigator: Clara Abraham, MD
Mucosal Immunity and Intestinal Inflammation
Yale University, New Haven, CT
POSTDOCTORAL POSITIONS are available for research on mucosal immunity, intestinal immune homeostasis/intestinal inflammation, and innate immunity.
The laboratory focuses on understanding mechanisms regulating innate immune responses, host pathogen interactions, and immunological pathways regulating mucosal immunity and inflammatory bowel disease (IBD). The current position will involve examination of molecular, cellular and biochemical mechanisms regulating innate cells and pattern recognition pathways, in particular in the context of genes implicated in IBD. The ability to incorporate computation approaches to biological questions is also beneficial. Studies incorporate approaches in both primary human immune cells and in vivo mouse intestinal model systems.
Education and experience: Candidates must have a PhD or equivalent degree with a strong background in cellular and molecular immunology, biochemistry, and molecular biology. Experience in examination of intestinal tissues, multiparameter flow cytometry, and bioinformatics/computational biology is desired.
Please send curriculum vitae, three names of reference and a one-page summary of research background and interests to Clara Abraham, M.D. (Clara.Abraham@yale.edu)
Yale University is an Affirmative Action/Equal Opportunity Employer.
Postdoctoral Associate Position in immunity and lung diseases at Yale School of Medicine
Starting Date: August 2024 (2 years position- renewable)
Are you passionate about unraveling how immune cells impact chronic lung diseases? Do you possess a deep understanding of immunology and biochemistry? If so, we want you to be a part of our team!
We are seeking a highly motivated individual to join our lab as a Postdoctoral Associate. At the forefront of our research lies the investigation into how immune dysfunctions, particularly within monocytes/macrophages, contribute to chronic lung inflammatory diseases, with a special focus on cystic fibrosis (CF).
Under the guidance of Dr. Emanuela Bruscia in the Department of Pediatrics at Yale School of Medicine, you will delve into research aimed at understanding and combatting CF and related disorders.
Why Join Us?
- Work alongside experts in a collaborative and supportive environment.
- Access cutting-edge facilities and resources at the heart of the Yale School of Medicine campus.
- Be part of a vibrant research community.
Qualifications:
- PhD in immunobiology, biochemistry, or related fields.
- Proficiency in flow cytometry and strong biochemistry background.
- Hands-on experience with mouse models and basic molecular techniques.
- Familiarity with immunofluorescence staining of tissue and fluorescence microscopy.
How to Apply:
Please submit a detailed curriculum vitae, a brief letter outlining your scientific background and career aspirations, and contact information for two references to Dr. Emanuela Bruscia at Emanuela.bruscia@yale.edu
Review of applications will commence immediately and will continue until the position is filled.
Postdoctoral position in lipid biology and mass spectrometry in the Zhao Lab at Yale University
We are seeking a postdoctoral fellow to join the laboratory of Dr. Xiaoai Zhao in the Department of Comparative Medicine at Yale University. Zhao lab’s main focus is on the funtional investigation of complex lipids in the context of aging and diseases. Questions that the Zhao lab are interested in include: how do membrane lipids affect cellular function and organismal health during aging and age-related pathologies, what are the organelle-specific lipid contribution in biological processes, and what is the role of complex lipid species in systems metabolism. We use a combination of molecular biology, biochemistry and mass spectrometry in cell and animal models to address these questions. For more information, please visit www.zhaolabyale.com. Interested applicants please send a brief statement of interest and curriculum vitae with contact information for three references to the PI at xiaoai.zhao@yale.edu.
Qualifications:
The successful candidate is expected to develop and apply innovative untargeted lipidomic studies using liquid chromatography mass spectrometry (LS-MS/MS) approaches on a latest Orbitrap MS platform from Thermo. The successful candidate will have completed or will soon complete their Ph.D. degree and should have extensive experience in maintaining and troubleshooting high-resolution MS instruments, particularly orbitrap mass spectrometers. However, substantial prior experiences with other mass spectrometers will also be considered. Hands-on experience in sample preparation and data analysis is preferred. Candidates must have excellent verbal and written communication skills, a strong track record of publications, and the ability to thrive in a dynamic environment with a commitment to excellence.
Opportunities and Benefits:
The candidate will lead research project on the new frontier of functional lipid research in the context of aging and systems metabolism. The Zhao lab is also part of a diverse and vibrant scientific community in the Department of Comparative Medicine and Yale Center for Molecular and Systems Metabolism. This position offers unique opportunity to interact with and learn from labs with broad expertise in metabolism, aging and immunology research. The candidate will also play a pivotal role in the development and shaping of the new Zhao Lab with opportunities to mentor graduate and undergraduate students.
Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs.
Title of the Position: Postdoctoral Associate
Department and School: Department of Linguistics, Graduate School of Arts and Sciences Anticipated Appointment Dates: August 15, 2024, to August 14, 2025 (with the possibility for a one-year renewal); the exact dates are flexible.
Email/website: https://rtmccoy.com/prospective_postdocs/
Introduction of Department: The Yale Department of Linguistics is home to a broad range of scholars who study language in its many facets: What rules or constraints define the structure of language? How do people learn and process language? How do languages change over time? How can we develop technology that can process language effectively? By studying such topics, we can use language as a window into the human mind and human society.
Overview of the Position: The Yale Department of Linguistics seeks candidates for a
Postdoctoral Associate in Computational Linguistics, who would work under the guidance of
Professor Tom McCoy. Applicants should have a background in Linguistics, Cognitive Science, Psychology, Computer Science, or another discipline related to computational linguistics. The applicant’s research agenda should relate to the use of computational methods to understand human cognition and/or the use of insights from linguistics and cognitive science to advance artificial intelligence; applicants who are purely interested in artificial intelligence, without a connection to linguistics, would not be a strong fit for this position. Potential research directions include developing computational models of language learning (e.g., neural networks or Bayesian models) or analyzing the linguistic representations of large language models; see https://rtmccoy.com/research/ for more discussion of potential research topics.
Education: The postdoctoral associate will be encouraged to attend seminars within the Linguistics Department that cover topics relevant to their research interests and professional goals. During regular meetings with the faculty mentor, the postdoc will also discuss current research in computational linguistics in order to further their education about the state of the field.
Training: At the start of employment, the postdoc and the faculty mentor will meet to discuss the postdoc’s career goals so that they can develop a plan for how their time at Yale can best advance those goals. Depending on the nature of those goals, types of training that the postdoc might receive include training from the faculty mentor in relevant computational techniques, opportunities to mentor student research (with guidance from the faculty mentor), and attendance at workshops about career planning.
Mentoring: The postdoctoral associate will attend weekly meetings with the faculty advisor to discuss research projects. They will also be encouraged to attend weekly lab meetings for the research groups that relate to their interests, such as the Computational Linguistics at Yale (CLAY) research group, and they will be encouraged to collaborate with other members of Yale’s computational linguistics community.
Location: The postdoctoral position will be held in-person on the Yale campus in New Haven, Connecticut, at the Department of Linguistics in Dow Hall.
Timeline: This postdoctoral position is a one-year appointment with the possibility for a one-year renewal, up to a maximum total of three years. The start date is flexible but is expected to be approximately August 15, 2024.
Qualifications: The applicant must have received a PhD before their start date. They are also expected to have a background in the application of computational methods within linguistics or cognitive science. Applicants will be judged based on their prior achievements and their fit with the faculty mentor’s research interests.
Process to apply: Applications will be considered on a rolling basis, with priority given to applications received on or before April 4, 2024.. Applicants should supply three things: (i) An up-to-date CV; (ii) exactly two writing samples (e.g., two papers that you have written); and (iii) a one-to-two paragraph summary of the applicant’s research interests. The research summary can be informal (e.g., it could just be a bulleted list) - the goal is simply to provide a sense of what topics or questions the applicant might want to work on during a postdoc. Please send these materials via email to tom.mccoy@yale.edu; the subject line of the email should contain the phrase “Postdoc application” and your name (e.g., “Postdoc application: Alex Smith”).
Selected applicants may be asked to also provide two letters of recommendation, but these should not be submitted with the initial application.
Join the VACS team!
The Veterans Aging Cohort Study (VACS) team is seeking a Postdoctoral Associate in Pharmacoepidemiology who will be responsible for conducting NIH- and FDA-funded mentored research, focusing primarily, but not exclusively, on deriving real-world evidence on the safety of prescription stimulants among patients with attention deficit hyperactivity disorder (ADHD), and effectiveness of repurposed medications to treat alcohol use disorder in people with and without HIV. More details on the aims and objectives of these grants found below.
The Postdoctoral Associate will join a multi-site, multidisciplinary research team, and be mentored primarily by Dr Christopher Rentsch, PhD, with the opportunity to collaborate with the wider VACS team and external partners through its infrastructure of Cores and Workgroups to acquire experience and knowledge outside of their primarily responsibilities.
The Postdoctoral Associate will be encouraged to articulate research questions of clinical, population health, and mechanistic importance, design research projects, develop detailed analytic plans, perform analyses, interpret results, effectively communicate results orally and in writing, lead and submit results for peer-reviewed publication, and disseminate findings at national and international conferences.
The ideal candidate will be self-motivated and collaborative, have strong epidemiological skills with some experience using complex, large-scale data (e.g., electronic health records) and a passion for deriving high-quality real-world evidence on medication safety/effectiveness, ideally in the field of addiction.
Responsibilities
- Lead and assist in designing, conducting, and interpreting epidemiological and pharmacoepidemiological research
- Extract and clean very large sources of electronic health records and other routinely-collected data
- Lead and assist with the preparation of abstracts and presentations at national and international scientific meetings and manuscripts for publication, including as lead author
- Manage elements of larger grants, ensuring compliance with good practice in relation to the conduct of research, and institutional ethics policies
- Undertake high quality research and scholarship, including contributing to drafting major grant proposals and/or leading on drafting smaller grant proposals
- Other duties and responsibilities as assigned or directed by the supervisors, including, but not limited to, travel and attendance of and participation in training and data access activities required for this role
Required Knowledge, Skills and Abilities
- Experience of performing epidemiological or statistical analyses
- Experience extracting and/or analyzing large-scale health datasets, including those derived from electronic health records or other routinely-collected data
- Previous contributions to written output, preferably peer-reviewed
- Proven ability to work independently, as well as collaboratively as part of a research team, and proven ability to meet research deadlines
- Evidence of excellent interpersonal skills, including the ability to communicate effectively both orally and in writing
- Evidence of good organizational skills, including effective time management
- Proficiency in SAS, SQL, or other programming languages
Preferred Knowledge, Skills, and Abilities
- 1-2 years prior post-doctoral experience are preferred but not required
- Some experience of contributing to research grant applications
- Some experience using propensity score approaches, including propensity score matching and/or inverse probability of treatment weighting
- Some knowledge of addiction treatment
- A strong interest and willingness to learn these preferred skills will be reviewed favorably
This position is jointly funded by NIH and FDA grants and available for a full time (100% FTE) one-year appointment with the possibility of extension upon mutual agreement and availability of funds. Candidates interested in this opportunity are invited to email Dr Christopher Rentsch (christopher.rentsch@yale.edu) with questions, or to apply, with a single PDF including:
- Cover letter of up to 2 pages detailing previous research experience, interests, and career goals
- Names and contact information of 2-3 academic references
- CV
About the projects
FDA funding
The overall aim of this grant is to elucidate current patterns of prescription stimulant receipt and improve our understanding of potential harms associated with these medications. To achieve this aim, these analyses will: 1) characterize patterns of and identify factors associated with receipt of prescription stimulant medication; 2) develop and validate the accuracy of algorithms used to identify patients with ADHD, a key indication of prescription stimulant use, in electronic health record data, and stimulant use disorder codes; and 3) among patients with ADHD, to examine the association between receipt of prescription stimulants and incident addiction, cardiovascular-related health outcomes, and neuropsychiatric outcomes.
NIH funding
The overall aim of this grant is to investigate potential repurposing of medications for alcohol use disorders to provide health benefits in people living with HIV. These analyses will assess whether each medication under investigation is associated with: 1) improvements in direct HIV-related biomarkers, i.e. decrease in HIV RNA levels and/or increase in CD4 count, 2) improved retention on ART, 3) improvement in liver function as measured by clinically relevant biomarkers of liver damage and function; 4) improvement in physical health and physiological frailty; and 5) reduction in pain level.
About VACS
The Veterans Aging Cohort Study (VACS) is a well-established, international, collaborative network of epidemiological, statistical, and clinical experts, with an exceptional track record of productivity and development of early career researchers, many of whom have transitioned to independent NIH and VA funding. The team are excited to offer this opportunity to develop and apply advanced epidemiologic and statistical methods on large, complex, national cohorts derived from electronic health records (EHR) at the Department of Veterans Affairs (VA). Over the past 25 years, the VACS team have curated and maintained several well-characterized cohorts based on VA data made possible by the national
VA Corporate Data Warehouse. The Warehouse provides access to all VA EHR data, including hospital and outpatient diagnoses (recorded using International Classification of Diseases, Ninth Revision [ICD-9] and Tenth Revision [ICD-10] codes), pharmacy data (i.e., dispensed outpatient and inpatient prescriptions), and laboratory results as well as clinical notes, vital signs (including weight and height), and health factors data (level of alcohol use collected via the AUDIT-C and smoking).
Yale University is an affirmative Acton/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected Veterans and member of minority groups. Applications will be accepted until the position is filled.
A postdoctoral position is immediately available in the laboratory of Dr. Arya Mani at the Cardiovascular Research Center at Yale University. The exciting project involves the investigation of epigenetic regulations by PRDM6 in vascular smooth muscle cells and a model of aortic aneurysm. Candidates should have a foundational understanding of molecular cloning, expression analysis in vivo and mammalian cell cultures, comprehensive ChIP-sequencing, and knowledge of histone modifications such as acetylation and methylation. Knowledge of CRISPR-Cas gene editing is a plus.
This position offers close mentorship, expecting the postdoctoral researcher to independently conduct experiments, analyze data, and actively participate in resolving experimental challenges. Strong communication skills and the ability to work well in a team environment are essential for success in this role. Compensation will be commensurate with the candidate’s research experience.
Interested applicants should compile a single PDF document that includes a concise cover letter, a curriculum vitae, a summary of research experience and publications, and the contact details of three references. Please send your application to arya.mani@yale.edu.
Postdoctoral Associate Position in Cancer Biology and Epigenetics
Bakhoum Laboratory – Departments of Ophthalmology & Pathology and Yale Cancer Center.
Overview
We are seeking highly motivated and creative postdoctoral candidates to join our team. Our NIH-funded research is focused on understanding the role of epigenetic dysregulation in melanoma progression and metastasis, with an emphasis on identifying therapeutic targets.
Requirements:
We are looking for candidates who are motivated, creative, and capable of independent research as well as collaborative teamwork. A strong background in cell culture techniques and/or mouse modeling is preferred. Computational skills are preferred but not required.
Lab Culture and Environment
Our lab values interdisciplinary collaboration and the clinical application of research findings. Postdoctoral fellows will have opportunities to work with a diverse team, including medical and graduate students, fostering an environment that encourages independence and the development of innovative ideas. We use a range of techniques including next-generation sequencing, single-cell genomics, high-resolution imaging, and mouse modeling. Our research is supported by both federal and private foundation grants. Candidate will have access to state-of-the-art facilities and equipment.
Career Development
The position offers a supportive environment for professional growth, including mentorship, opportunities to participate in international conferences, and guidance in grant writing.
Application Process
To apply, please submit the following to mbakhoumlab@gmail.com with the subject line “Postdoctoral Position Application”:
- A cover letter detailing your interest in the position, research experience, and career goals.
- Your current CV.
- Contact information for three references.
For more information please visit www.bakhoumlab.org
Postdoctoral position at The Forest School at the Yale School of Environment, Yale University
The Yale Forests invites applications for a postdoctoral researcher specializing in forest ecology, agroforestry, and/or silviculture as part of a USDA-funded project focusing on promoting climate-smart and sustainable agriculture in New England through regionally adapted agroforestry systems (Project “ADAPT”). We seek a highly motivated individual to establish forest and agroforestry experimental studies at the Yale Forests and surroundings to test and to transition agricultural systems into agroforestry in the Northeast. We intend to develop and test three agroforestry systems that includee silvopasture, polycultures (i.e. mulitstrata pererennial systems and/or food forests), and forest farming. We seek to do this in a way that optimizes climate and socio-ecological benefits, while also considering potential tradeoffs by incorporating perspectives from diverse stakeholder and rightsholders groups and integrating socio-ecological data collected across New England in agroforestry transition sites hosted at Yale and partner institutions (UNH and Dartmouth), and practitioner locations. The position is funded for 3 years with an expected start date of July 2024.
The postdoctoral researcher will be primarily advised and hosted in the Ashton silviculture Lab and the Orefice agroforestry program Maple | Yale Forests but also be part of the Yale School of the Environment (YSE) The Forest School | Yale School of the Environment. Much of the work will be based at the Yale Forests in northeastern CT Welcome | Yale Forests. Applicants who self-identify as individuals from groups historically excluded from ecology and/or persons excluded because of their ethnicity or race (PEERs) are particularly encouraged to apply. The Yale is committed to antiracism, equity, and inclusion, and resolves to create programs, measures, and systems of accountability that ensure trainee success. This is a full-time, non-remote, in-residence position. Yale is an equal opportunity employer.
The postdoctoral researcher will be part of a larger USDA-funded ADAPT project, which integrates research, education, and extension to (i) develop and test three agroforestry systems, (ii) promote agroforestry training and outreach programs for landowners, professionals, and other interested communities through university extension, and (iii) build knowledge and skills around agroforestry as a climate smart solution for expanding food production through diverse educational opportunities. Project collaborators include researchers and extension staff from three universities (University of New Hampshire, Dartmouth, and Yale), partners from numerous institutions and organizations engaged in agroforestry-related activities (e.g., USDA National Agroforestry Center, USDA Forest Service Northern Research Station & Climate Hub, The Nature Conservancy, Whole Systems Design Collective, MidCoast Permaculture Design, ReTreeUS, Interlace Commons, Food Solutions New England) and individual collaborators throughout the region. Project results will contribute to developing climate-smart agriculture and forestry in New England through (i) mitigating greenhouse gas emissions, (ii) fostering market opportunities, and (ii) enhancing climate adaptation and resilience.
The postdoctoral associate will participate as part of a large interdisciplinary team of scientists and graduate students and will have substantial flexibility to develop their specific research focus within the context of the project team’s expertise and the needs of the larger project.
Qualifications:
- PhD in silviculture, applied ecology, agroecology, agroforestry or a closely related field at the time of starting the position.
- Strong track record of relevant publications in peer reviewed journals.
- Strong oral and written communication skills.
- Strong analytical skills and use of statistical packages and analyses.
- Ability to interact and communicate effectively with people from diverse backgrounds, disciplines, organizational affiliations, and levels of expertise and knowledge.
- Ability to work well independently with minimal supervision, including strong problem-solving skills.
- Ability to work well as a member of a large, inter-disciplinary team.
- Ability and desire to travel to partner sites and participate/lead community building activities.
Preferred Qualifications:
- Record of mentorship and experience broadening participation for historically excluded.
- Strong field experience
Major Duties/Responsibilities:
- Set up and monitor a suit of agroforestry experiments within systems converting open field to agroforestry, and a suit of agroforestry experiments within systems that convert forests to agroforestry.
- Work with masters students employed over the summer months on setting up and monitoring the experiments
- Collect and analyze data in the agroforestry experiments.
- Participate in ADAPT cohort activities, including interactions with postdocs, graduate students, undergraduates, and PIs, farmers, and other project team across all partner institutions
- Give guest lectures in agroecology/agroforestry courses as appropriate
- Publish results in peer-reviewed journal articles and present data at conferences.
- Mentor graduate masters students in scientific methods and career development.
- Contribute to the cultivation of an equitable, inclusive, and antiracist lab group.
For questions about the position, email Mark S. Ashton (mark.ashton@yale.edu) or Joseph Orefice (joseph.orefice@yale.edu) with “ADAPT agroforestry agroforestry postdoc” in the subject line.
(Target start date: June 1st, 2024; some flexibility is possible.)
To apply, please submit the following by April 1st, 2024: 1) A cover letter, CV, and contact information for three reference letters. Letters will be requested for finalists only.
Applications received by April 1st, 2024, will receive full consideration, and reviewed thereafter until the position is filled.
Postdoc Position- Dr. Jennifer A Kim, MD-PhD
The Division of Neurocritical Care in the Department of Neurology at Yale University is inviting applications for a two-to-three-year postdoctoral position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses on predicting complications and poor outcomes after acute brain injuries, such as trauma, stroke or brain hemorrhage, using data from multiple diagnostic modalities.
The main goal of the research will be to perform time-series or image processing and apply statistical and machine learning methods for prediction of complications and poor outcomes after acute brain injury. The position will require both the processing of already collected datasets as well as assistance with the ongoing effort of establishing a larger data set of recordings, which may include some practical implementation, execution, storage, and transfer of new data.
Applicant must have a background in signal processing and experience in statistical modeling or machine learning methods. Programming experience in Python, Matlab, and/or R is a prerequisite. Experience with EEG or other brain physiology recordings is an advantage but not required. A candidate with a strong statistical background is desired; experience with machine learning methods including random forest and deep learning methods is an advantage, but not required.
Good oral and written English communication skills, the ability to work both independently and as part of a team, is a prerequisite. Candidates must be self-motivated. Responsibilities will include design, implementation and dissemination of research including data processing, modeling, and drafting manuscripts.
This appointment as a postdoctoral researcher requires academic qualifications at the PhD or MD level, preferably in Neuroscience, Bio/Statistics, Engineering, Computer Science, or related areas. Interest applicants should send their CV to Sara Jasak at sara.jasak@yale.edu
Postdoctoral Associate Position (Garg Lab, Department of Laboratory Medicine)
A postdoctoral position is available in the laboratory of Dr. Salil Garg (https://medicine.yale.edu/profile/salil_garg/), Assistant Professor in the Yale School of Medicine. The Garg laboratory (http://www.garglab.org) uses approaches from genomics, bioinformatics, molecular biology, and systems biology to understand heterogeneity in stem cells and cancer. We want to understand how cell systems with the same genetic material generate cells with markedly different behaviors from one another. Our hypothesis is that the processes that drive this behavior in normal development operate in cancer, complicating treatment and preventing cure. The lab’s most recent publications appear in Molecular Cell and Cancer Discovery, and mentees have gone on to success in both academic and industry careers.
Qualified applicants will have a Ph.D., M.D., or equivalent credential in a relevant discipline. The lab employs both experimental and computational approaches; applicants should have familiarity with at least one of these areas and a willingness to learn the other. Our philosophy is to chase scientific questions using the best methodology available, which usually means employing both “wetlab” and “drylab” techniques. Candidates should be curious, hard-working, strong communicators, and above all interested in answering challenging questions. Visa sponsorship is available.
Projects are flexible and can be crafted to the interest of the applicant, and may relate to 1) molecular mechanisms in gene regulation that drive heterogeneity; 2) understanding cellular states and memory in cell systems; 3) cell-cell communication and how it relates to heterogeneity; 4) connections between developmental biology and cancer, particularly for pediatric tumors.
Application process: Interested applicants should contact Dr. Salil Garg (salil.garg@yale.edu) using subject line “Postdoctoral position in the Garg lab” and include: a cover letter addressing their research background, interests, and goals; a copy of their curriculum vitae; and names of 3 references including research supervisors. Yale University is an equal opportunity employer and values diversity in its faculty, students, and staff.
Position: Postdoctoral Associate
Department: Genetics
Hiring Faculty: Dr. Yong-Hui Jiang
The Jiang laboratory in the Genetics and Neuroscience is seeking highly motivated candidates for a postdoctoral position. Interests in the laboratory focus on developing new treatments for neurogenetic and neurodevelopmental disorders using CRISPR somatic genome editing approach. In collaborating with Dr. Jiangbing Zhou, Professor of Biochemical Engineering, we have developed a new delivery platform for genome editing mediated by Cas9 and dCas9 in brains and other organs. The new delivery platform, termed Stimuli-responsive Traceless Engineering Platform (STEP) is a non-viral and non-nanoparticle based platform that is capable to penetrate to brain very efficiently. We have recently received a large NIH grant as a part of Phase 2 of NIH Somatic Genome Editing Consortium. The candidate is expected to develop and test a CRISPR/Cas9 editing based treatment for neurogenetic diseases of interests in mouse model as well as in patient derived IPSC and brain organoids.
Applicants should be highly motivated with experience in molecular biology, neurological techniques, and mouse study. Of particular interest are candidates with research experience neurogenetic disease mouse models. The candidate must have a recent PhD or MD/PhD degree in a relevant field with a proven track record of scientific productivity including at least one first author publication in a peer-reviewed journal. Excellent written and oral communication skills are expected. The candidate will be expected to work independently in the design and execution of experiments with guidance from the principal investigator. As projects in the laboratory are often highly collaborative, the candidate should be able to work effectively and enthusiastically in a team environment.
Candidates should send a Curriculum Vitae, a statement of research interests and career goals, and names / contact information for three references to: yong-hui.jiang@yale.edu. Anticipated start date is immediately.
Yale University is an Affirmative Action / Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Postdoctoral Associate position Yale School of Medicine, Clinical Cytogenetics, Department of Genetics
Faculty Member: Peining Li
The Clinical Cytogenetics Lab in the Department of Genetics at Yale School of Medicine is seeking a postdoctoral candidate interested in validating and utilizing genomic technologies for clinical diagnosis.
Our lab provides conventional cytogenetic analyses and chromosome microarray assay for detecting chromosomal abnormalities and pathogenic copy number variants in both clinical and research settings ( https://medicine.yale.edu/lab/cytogenetics/ ).
We are looking for a highly motivated Postdoctoral Associate to (1) develop and validate novel genomic testing for detecting recurrent structural rearrangements in various types of cancers; (2) perform independent research on specific case cohort, and (3) participate in collaborative research.
Candidates with experience in molecular and cytogenetics techniques, microarray analysis, next-generation sequencing (especially long read genome sequencing), and bioinformatics are encouraged to apply. Candidates would have a background in genetics or molecular biology. PhD and excellent communication and writing skills are required. Salary is on the standard of school and department guidelines.
Interested applicants should send a CV, a cover letter and three references to peining.li@yale.edu.
Summary
- Position: Postdoctoral Associate
- Duties: Project director of the Environmental Performance Index (epi.yale.edu)
- Academic unit: Yale Center for Environmental Law & Policy (envirocenter.yale.edu)
- Location: New Haven, CT, USA
- Qualifications: Ph.D. in Environmental Science, Quantitative Social Science, Statistics or Data Science, or a similar discipline
- Term: Summer 2024 – Summer 2026
- Application: Cover letter and CV
- Deadline: Review of applications begins February 1, 2024 and continues until filled.
Position
The Yale Center for Environmental Law & Policy (envirocenter.yale.edu) seeks a Postdoctoral Associate to serve as the project director for the Environmental Performance Index (EPI) (epi.yale.edu). The position will span the Summer of 2024 to the Summer of 2026, culminating in the launch of the 2026 EPI report.
The EPI has been a flagship project of the Center for over twenty years, tracking trends in sustainability and highlighting global leaders in environmental health and ecosystem vitality. Policymakers, researchers, media outlets, and non-governmental organizations rely on the EPI’s data-driven insights to identify environmental priorities and implement more effective sustainability policies.
The Postdoctoral Associate will supervise all aspects of the 2026 EPI analyses and report by: (1) mobilizing a team of data partners, researchers, and sustainability experts; (2) engaging with environmental and health ministries in governments around the world; (3) supervising multiple environmental research streams and data analyses; and (4) overseeing the production of a high-quality report. In addition to the Postdoctoral Associates primary responsibilities as EPI director, we also seek an individual who can engage with the Center’s broader environmental policy agenda.
Essential Duties
- Oversee all elements of the production of the 2026 EPI report, including developing innovative environmental indicators, reviewing data sources, performing statistical analyses, and communicating findings in high-quality publications.
- Work closely with the EPI Team, including Yale faculty, student research assistants, and our partners at Columbia University’s Center for International Earth Science Information Network.
- Contact and consult data partners at other institutions, including academic research centers, think tanks, and non-governmental organizations.
- Ensure methodological rigor and scientific accuracy of the EPI through surveying the latest advances in environmental data, refining existing approaches, introducing new metrics, and engaging with sustainability thought leaders in academic and policy institutions.
- Curate and expand a code library in support of the EPI’s environmental data analyses.
- Coördinate day-to-day operations and administration of the EPI, including hiring and supervising student research assistants, developing and tracking budgets, and managing contracts with data partners.
- Lead the writing of the 2026 EPI report, website, policymakers’ summary, and technical appendix.
- Develop and implement a communication strategy for disseminating the results of the 2026 EPI, including event planning for the release, engagement with news outlets and social media, and other opportunities for presenting the project to diverse audiences.
- Answer inquiries from international media, government officials, academic researchers, and members of civil society.
- Work with Professor Dan Esty, other Yale faculty, and research partners to publish scientific findings and policy insights in high-impact peer-reviewed journals.
- Otherwise support the work of the Center, including contributing to fundraising efforts and writing reports and other materials for donors.
Education & Experience
- A Ph.D. in Environmental Science or Quantitative Social Science. Possible fields include Climate Science, Environmental Chemistry, Ecology, Sustainability, Public Health, Statistics, Data Science, Economics, Political Science, and Public Policy.
- Experience with statistical analyses and comfort with data analysis.
- Experience in coding (ideally using R, but also Python, Matlab, or a similar data-oriented language).
- Broad knowledge of environmental science and policy, especially in the areas of climate change, biodiversity, and international sustainable development.
Skills & Abilities
The ideal candidate will possess:
- Excellent research, writing, interpersonal, and communication skills;
- Experience with interdisciplinary research and collaborations;
- Demonstrated leadership and project management experience;
- Ability to work under pressure, meet tight deadlines, and manage multiple pressing responsibilities with minimal supervision.
Schedule & Compensation
This is a full-time position for two years to run Summer 2024 – Summer 2026. The start date is flexible, but we cannot offer a deferral. The position requires working during normal business hours throughout the calendar year with occasional travel. Salary is competitive and includes a benefits package through Yale University.
Application Guidelines
- Review of applications will begin on February 1, 2024 and will continue until the position is filled.
- Please email a cover letter and CV as a single PDF to Meghan.Kircher@yale.edu and sebastian.block@yale.edu with the subject “EPI 2026 Post Doc Application”. If your email does not have that in the subject, your application may not get reviewed.
- Letters may be addressed to Prof. Dan Esty, Yale Center for Environmental Law & Policy, 195 Prospect Street, New Haven, CT 06511.
- Cover letters should address qualifications for this position rather than summaries of research and publications.
- If invited, candidates may be asked for additional materials, including writing samples and references.
Postdoctoral Associate in Pain & Addiction Neuropsychopharmacology
The Pain and Addiction Interaction Neurosciences (PAIN) Lab, located within the Division of Addictions of the Department of Psychiatry at the Yale University School of Medicine, is seeking to hire a postdoctoral associate to work on developing novel pain and addiction therapeutics, through translating advances in neuropsychopharmacological research. The ideal candidate should have recently completed a Ph.D. or M.D., with a background in psychiatry or psychology, and experience in behavioral data analysis, with proficiency in R or similar programs.
The postdoctoral associate will have the opportunity to work on Phase 1/2 human laboratory studies aiming to understand the pharmacodynamics and pharmacokinetics of substances that have both analgesic and addictive potential (e.g., phytocannabinoids, NDMA antagonists, psychedelics). The postdoctoral associate will work on studies recruiting healthy persons and persons with substance use disorders. Potential experiences include contributing to ongoing data collection; working on data already collected within the lab; and applying data analysis skills to larger, nationwide datasets.
The postdoctoral associate will receive training in state-of-the-art behavioral pharmacology techniques (delivering psychoactive substances using various routes of administration and manipulating processes that are clinically relevant for pain and addiction treatment); computerized quantitative sensory testing (QST) of pain; and real-world clinical trial methods. These training opportunities are bolstered by the rich intellectual environment of the Yale Division of Addictions with adjacent PI’s Mehmet Sofuoglu (expertise in addiction psychopharmacology), Mohini Ranganathan (expertise in cannabinoid science) and R. Ross MacLean (expertise in ecological momentary assessment applied to the study of co-occurring pain and addiction).
Expectations of the postdoctoral associate include the processing and analysis of complex behavioral data, aiming towards publishing manuscripts and generating novel scientific directions. Additional opportunities include behavioral and psychophysical task design and pharmacokinetics modeling.
The ideal candidate should be self-driven, creative, ethical, and collaborative, and able to integrate feedback. Ultimately, there will be project flexibility based on the interests and motivation of the postdoctoral associate, and a lack of formal experience should not preclude the motivation to be trained. Experience in multidimensional assessment of pain, clinical neuroscience, or prior work with populations with pain and/or addiction are a plus.
The starting date is negotiable. The duration of the position will be two years, with the opportunity to extend if agreed upon by the post-doctoral associate and the PI.
If interested, please email a letter of interest, CV or resume, and the names of three references to: joao.deaquino@yale.edu and julia.meyerovich@yale.edu.
Postdoctoral Associate Position in Social and Behavioral Sciences
Location: Yale School of Public Health
Position Type: Full-time, Postdoctoral Fellowship
Length of position: Renewed annually for up to three years
Start Date: February 5, 2024
Salary Range: $65,000 - $68,000
The Society, Connectedness, and Health (SOCAH) Group at Yale School of Public Health is growing as an important leader in research and solutions to help people in organizations and communities socially connect in ways that increase health and prosperity in multiple areas of life. We are seeking a diligent, hungry, highly motivated, and qualified Postdoctoral Research Associate to join our dynamic research team. This position is based on a newly funded project that focuses on advancing our understanding of the causal impact of neighborhood and individual social connectedness on mental health, as well as other health outcomes, among Black adults in the United States. The Postdoctoral Associate will use: 1) data from the Midlife in the United States (MIDUS) Series, which includes longitudinal and cross-sectional data on over 500 Black adults who reside in Milwaukee, WI; and 2) census-tract spatial identifiers linked to each participant, which will be used as a proxy for neighborhoods. Methodological approaches that will be used in this study include longitudinal analyses, geo-spatial analysis, multilevel analyses, mediation analyses, and qualitative research design and analysis. The Postdoctoral Associate will be at Yale and will collaborate with researchers across several institutions (including Villanova, University of Maryland, Michigan State, The George Washington University). The Postdoctoral Associate will be expected to lead several data management and statistical analyses, writing, and submitting manuscripts for publication. The Postdoctoral Associate will benefit from mentorship on academic advancement (e.g., on writing and winning a K01), have opportunities to write and submit NIH grants, and participate in multiple professional development trainings and opportunities (e.g., developing public speaking skills, attend writing retreats, presenting research from the project at national or international conferences). Review of applications will begin immediately and continue until a qualified candidate is hired. The position may be hybrid (80%) in person at Yale in New Haven with flexibility in schedules including workdays.
Key Responsibilities:
- Oversee, conduct, and assist with systematic literature reviews of epidemiologic studies on social connectedness and health outcomes among Black people. In addition to conducting and publishing systematic or scoping reviews, the Postdoctoral Associate should develop a system to stay current and abreast of the latest developments in social connectedness and health research to integrate new knowledge into the projects and prepare for new projects.
- Conduct in-depth research on the effects of social connectedness and mental health outcomes using advanced longitudinal, multilevel, mediation, and spatial epidemiology methods. Prepare and analyze longitudinal datasets for analyses aimed at identifying trends, associations, and potential causal relationships, and identify mediating mechanisms between social connectedness and mental health outcomes.
- Identify other relevant datasets or collaborate with other researchers who have related datasets that allow for replication and expansion of our primary analyses.
- Organize and manage complex datasets from the Census bureau, and other independent sources that can be linked to the MIDUS datasets while ensuring data quality and integrity. Merge geographic and other spatial- datasets on social, built, and other environmental variables with individual-level data in the MIDUS. Implement data cleaning and preprocessing techniques as needed.
- Apply advanced statistical techniques to analyze longitudinal data, hierarchical data such as mixed-effects models, survival analysis, and geospatial analysis to obtain Census-tract level data and perform Bayesian spatial analyses, including Small Area Estimation (SAE) techniques to obtain estimates of the variables for each participant in the dataset.
- Interpret and communicate results effectively in various formats, including Op-Eds, and blog posts on the SOCAH website and/or social media pages.
- Assist with developing qualitative research protocols, which includes developing the interview guide, working with other team members to conduct interviews, code, and verify transcribed data, and assist with qualitative data analysis in NVivo or related software.
- Prepare manuscripts (as first author and second or middle author) for publication in peer-reviewed journals and present research findings at conferences and seminars.
- Collaborate efficiently and effectively with multidisciplinary teams of researchers, epidemiologists, leadership at community-based organizations, community residents, health geographers, biostatisticians, and public health experts. Examples of collaboration includes organizing communications (e.g., zoom, call, emails) with group members to complete manuscripts on time, to facilitate dissemination of results, obtaining and addressing feedback in a respectful way that centers inclusivity and equity.
- Provide mentorship and guidance to junior researchers, masters students, and doctoral students who work on the project. Collaboration may include overseeing manuscript writing where you are the lead or second author.
Qualifications:
- Ph.D or Dr.PH in Epidemiology, Public Health, Health Geography, Sociomedical Sciences, Sociology, or a related field with experience working in research examining health disparities, social connectedness, social capital, and related constructs in association with mental health variables
- A strong background obtaining from multiple sources, wrangling, creating new variables from spatial estimation techniques, and merging geo-spatial data products is essential.
- Experience with or interest in geospatial/spatial epidemiology analysis (Desired)
- Demonstrated expertise in advanced epidemiological methods, including but not limited to longitudinal analysis, survival analysis, multilevel/mixed-effects modeling, and causal inference methods such as mediation analyses, merging nested data, obtaining, and building databases from multiple sources (e.g., Policy Map, American Fact Finder, ESRI Business Analyst)
- Advanced proficiency in R (Required), STATA (Required), and Mplus (Desired) statistical software (as demonstrated by papers published where you used this software)
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
- Preference will be given to applicants who demonstrate cross-disciplinary and collaborative approaches to the application of social sciences, epidemiology and community-engaged participatory methods.
- Excellent communication skills, both written and oral, for presenting research findings and collaborating effectively with team members and stakeholders.
- A track record of scholarly publications in peer-reviewed journals is a plus.
Application Process:
Please apply online: http://apply.interfolio.com/139067
Interested candidates should submit the following application materials:
- Cover letter (2-pages max) outlining your doctoral research, your interest in the lab, why you qualify for the position, what unique strengths you bring, and your plans after the position ends.
- Brief letter (up to 1 page) that describes your positionality in the world, your core values, and commitment health equity, and transforming the lives of marginalized peoples and communities.
- Curriculum vitae (CV) which shows a list of publications and prior experience.
- Reprints of two (2) peer reviewed publications you submitted as a first or 2nd author
- Names for two letters of reference, at least one from a previous faculty member that you have published with.
Information on benefits for postdoctoral positions can be found here.
Questions regarding this position should be directed to Dr. Yusuf Ransome at yusuf.ransome@yale.edu.
Please put “Postdoctoral Associate” in the subject of the email. Note, there may be delays in email response.
Yale University is an Affirmative Action/Equal Opportunity Employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected Veterans, and underrepresented minorities.
Postdoctoral position in Genetics and Pathogenesis of Liver Disease at the laboratory of Silvia Vilarinho, MD, PhD at Yale Liver Center.
The Vilarinho lab at Yale Liver Center is seeking highly motivated and dedicated individuals who are passionate about advancing the cellular and molecular understanding of liver function in health and disease.
Our laboratory is interested in using human genetics and genomics paired with highly informative cohorts of patients to discover new liver disease genes. Using cell based and mouse models as well as biochemistry we study how a mutant gene causes the liver phenotype. Thus, by uncovering new liver disease genes, we provide a diagnosis leading to new therapeutic options, and we gain new insight into liver biology. For more information, please see: https://www.vilarinholab.org.
Successful candidates should have backgrounds in cell and molecular biology, biochemistry, genetics and genomics or other related fields. Individuals with a track record of publications, training in liver biology, mouse models and/or bioinformatics and recent PhD graduates are strongly encouraged to apply. The Liver Center provides a stimulating training environment, as well as many collaborative opportunities.
If you are interested in this position, please send your CV and a statement of why you are interested in the lab to silvia.vilarinho@yale.edu.