Yale Postdoctoral Positions
Yale University’s Nondiscrimination/Title IX Statements
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.
In accordance with university requirements for a safe return to in-person university operations, all faculty, staff, and postdoctoral and postgraduate trainees will be required to be fully vaccinated against COVID-19 before their first day. For additional information, please visit Yale University’s Office of the President . Read Here.
- Experience or interest in female vascular physiology using mouse models (blood pressure, pulse wave velocity, and ex vivo artery function)
- Experience or interest in immunology techniques (flow cytometry, antibody mediated depletion of cells, adoptive transfer, immune cell isolation).
- Proficient in mouse handling, injections, survival surgery and microdissection.
- Proficient in molecular biology techniques is preferred: RT-PCR, western blotting, immunostaining/imaging, etc.
- Proficient in mammalian cell culture techniques.
- 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, active participation in manuscript preparation and publication.
A position for an ambitious junior postdoctoral researcher is immediately available in the laboratory of Chris Burd of the department of cell biology at the Yale School of Medicine. We are cell biologists with interests in understanding homeostatic pathways that maintain the functions of membrane-bounded organelles, especially the Golgi apparatus, the plasma membrane and the lysosome. Currently, we focus on sphingolipids that are produced in the Golgi apparatus. Perturbations to sphingolipid synthesis, trafficking and turnover play key roles in protection from neurodegenerative disease (e.g., Alzheimer’s and Parkinson’s), metabolic disease (e.g., diabetes) and developmental disorders. Recent discoveries from our lab include a role for very long chain sphingolipids in cholesterol homeostasis, lysosome function and growth regulation. Our laboratory relies heavily on lipidomics, metabolic lipid labeling technologies, live cell imaging and biochemistry.
The successful candidate will have experience with lipid biochemistry and analysis and have a strong desire to apply their training to investigate a cholesterol-sphingolipid homeostasis axis that controls cholesterol and sphingolipid levels of organelle membranes. The candidate will benefit from an exceptionally collaborative research community with expertise in membrane biophysics, optical imaging technologies, organelle cell biology and diverse model organisms.
Please respond with a statement of interest, your CV and a short description of relevant expertise to christopher.burd@yale.edu.
Examples of our relevant research can be found in these publications:
Kim et al., 2023 doi: 10.1083/jcb.202308055
Kim and Burd, 2023 doi: 10.1101/cshperspect.a041397
Sundberg et al, 2019. doi: 10.1016/j.devcel.2019.08.014
Deng et al, 2016. doi: 10.1073/pnas.1602875113
- Education: The successful candidate will gain in depth understanding of all aspects of histocompatibility testing and support of the organ transplant program. For those interested and if background education standards are met, HLA Director in Training may be provided, which is a 2 year commitment. Interaction with all medical and surgical faculty will occur on a weekly basis in conferences held to evaluate candidates pre transplant, as well as post- transplant management.
- Training: Training in HLA determination by various sequencing platforms including Illumina sequencing and Nanopore technology HLA and non-HLA antibody assessments and flow cytometry to determine compatibility, interpretation of lab results, digital droplet PCR measurement of donor derived cell free DNA, which is in research mode currently.
- Mentoring: Primary mentoring wil be provided by Laurine Bow, PhD, Associate Professor of Surgery and the current Director of the laboratory. As mentioned above, there will be weekly meetings dedicated to patient management and interpretation of laboratory findings with regards to transplant patient candidacy and post-transplant outcomes.
- Location: The Histocompatibility laboratory is located within the School of Medicine in FMB 15.
- Length of Appointment: Post doc appointments are a one year term, for those candidates wishing to proceed to Director in Training a second year renewal is possible
The Laboratory of Intelligent Global Health Technologies (LiGHT, https://www.yale-light.org/) at Yale University is looking for exceptional, multi-talented AI/ML postdocs to develop implementable predictive models adapted to low-resource settings and humanitarian response.
ABOUT YALE
Biomedical Informatics and Data Science [BIDS] is a new section in the Yale School of Medicine [YSM], driving research to ensure 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 research lab that focuses on using data science to improve health care in resource-limited settings. We work with university hospitals and international NGOs and have a large and diverse project portfolio, which includes running clinical trials to validate our tools in the field.
YOUR PROFILE
- You are exceptional
- You have a Ph.D. in some combination of DS/ML/AI/CS and have acquired diverse skills in all.
- You are passionate about research and teaching
- You want to create impactful tools for humanitarian and low-resource settings
- You are comfortable in a multi-project lab with a dynamic young international environment
YOUR MISSION
- Development in close collaboration with research staff working on cutting-edge deep learning algorithms and software
- Support research staff to transition research prototypes to production-grade software tools
- Implement best practices for sustainable and maintainable software development
- Education and support for research staff and students in software development
THE FOCUS AREAS (no specific experience needed here, you can learn on the job, just FYI)
- We have a range of projects that focus on 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)
- We work with multimodal models (including LLMs) and are interested in creating implementable optimization techniques that reduce their computational cost for equitable access and use in low-resource settings.
SKILLS REQUIRED
- Strong practical experience (ideally Python plus other languages too), and good expertise with at least one common ML framework
- Open source and software design expertise
- Fluent English in speech and writing
- Effective team player
SKILLS PREFERRED
- Knowledge in one or more of the areas of machine learning, deep learning, distributed computing, p2p networks, decentralized systems, PyTorch, jax, TensorFlow (in particular .js), web stack, and public cloud environments.
- Bachelor’s, Master’s, or PhD degree in computer science or equivalent.
WE VALUE
- Creativity
- Passion
- Humor
- Kindness
- Organization
- Rigor
- Autonomy
- Diversity
- Openess&Transparency
- Adventure
- Generosity
- Hard work
WE OFFER
An exciting and fun 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% (onsite/hybrid)
Duration: 1 year fixed-contract (till Dec. 2024), with possible extension
Apply: via the LiGHT lab website https://www.yale-light.org/join-us
Several immediate openings exist for postdoctoral positions intended for highly motivated individuals to work with Dr. Qingyu Chen at the Section of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University. These positions entail projects related to data science and artificial intelligence (AI) in healthcare, covering biomedical natural language processing, medical image analysis, and AI-assisted healthcare applications.
Required Qualifications:
- Possession of a Ph.D. in biomedical informatics, computer science, or related fields.
- Demonstration of first-authored papers in relevant areas, including but not limited to biomedical natural language processing, medical image analysis, or AI-assisted healthcare applications.
- Proficiency in programming, particularly in deep learning tools such as PyTorch and TensorFlow.
- Preferred experience in interdisciplinary research.
Application Process:
The review of applications will commence immediately and proceed on a rolling basis until all positions are filled. Interested candidates should submit a letter of interest, a CV, and the contact information for three professional references to qingyu.chen@yale.edu. Please use “Postdoctoral Application in Artificial Intelligence and Data Science in Healthcare” as the subject line.
About Dr. Qingyu Chen:
Dr. Qingyu Chen is an incoming assistant professor at the Section of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University. He is currently finalizing the K99 phase and will be establishing the team in 2024. Dr. Chen has led research in AI and data science in healthcare, contributing over 40 first-authored papers out of over 60 in total. Additionally, he has developed widely-used biomedical informatics tools such as LitCovid (Chen et al., Nature 2020; Chen et al., Nucleic Acids Research 2021; Chen et al., Nucleic Acids Research 2023), which has been used by millions of biomedical researchers and healthcare professionals worldwide.
Dr. Chen is the recipient of the K99 grant on multimodal AI-assisted disease diagnosis and has received several competitive awards, including the NIH Fellows Award for Research Excellence (twice), recognition as a Top 50 Talent in AI across disciplines by Baidu Scholar, the Microsoft Master Innovation Award, Excellence in Teaching Awards (twice), the NIH Mentor Award (four times), and the top performance award in three machine learning challenge tasks in biomedical informatics as the first author.
The Braun Lab (Yale Center of Molecular and Cellular Oncology / Yale Cancer Center / Yale School of Medicine; www.thebraunlab.org) is seeking a highly motivated experimental postdoctoral fellow or associate research scientist interested in cancer immunotherapy and immunogenomics to join our translational research team.
Our laboratory aims to understand the key determinants of effective anti-tumor immunity, utilizing high-dimensional analytic tools and patient-derived models to study human tumors. We have focused our efforts on renal cell carcinoma (kidney cancer), and our work has helped to elucidate genetic and immunologic features that impact response to immune checkpoint inhibitors (Braun, Nature Medicine, 2020) and to define the immunologic changes that occur with progression to advanced disease (Braun, Cancer Cell, 2021). We now aim to understand the antigenic and immune microenvironmental features that determine why kidney cancers respond or a resistant to current immunotherapies, and to create patient-derived pre-clinical models to aid the development of novel immunotherapy approaches in this disease (Braun, Nature Reviews Clinical Oncology, 2021).
Candidates with MD, PhD, or MD/PhD degrees and strong experimental experience in immunology, cancer biology, molecular biology, and/or or genetics/genomics are encouraged to apply. Successful candidates will be expected to work collaboratively with other postdoctoral fellows, computational biologists, graduate students, and other trainees in the laboratory. High priority will be given to candidates with prior experience in immunology techniques, functional genomics, and/or mouse modeling.
Interested applicants should send a cover letter (describing prior research and future goals, AND listing contact information for 3 references) and a CV to david.braun@yale.edu .
The Braun Lab uses reverse translation to understand human tumor immunology, with the goal of improving immunotherapies for patients with cancer. We are located at Yale University, an internationally-renowned research university located in the historic city of New Haven, Connecticut. Yale has long been recognized as an outstanding environment for nurturing young scientists, with postdoctoral researchers being an integral part of the discovery process.
The Braun Lab (Yale Center of Molecular and Cellular Oncology / Yale Cancer Center / Yale School of Medicine; www.thebraunlab.org) is seeking a highly motivated, computationally-focused postdoctoral fellow or associate research scientist interested in cancer immunotherapy and immunogenomics to join our translational research team.
Our laboratory aims to understand the key determinants of effective anti-tumor immunity, utilizing high-dimensional analytic tools and patient-derived models to study human tumors. We have focused our efforts on renal cell carcinoma (kidney cancer), and our work has helped to elucidate genetic and immunologic features that impact response to immune checkpoint inhibitors (Braun, Nature Medicine, 2020) and to define the immunologic changes that occur with progression to advanced disease (Braun, Cancer Cell, 2021). We now aim to understand the antigenic and immune microenvironmental features that determine why kidney cancers respond or a resistant to current immunotherapies, and to create patient-derived pre-clinical models to aid the development of novel immunotherapy approaches in this disease (Braun, Nature Reviews Clinical Oncology, 2021).
Candidates with MD, PhD, or MD/PhD degrees and expertise/experience in bioinformatics, computational biology, computer science, mathematics, physics, and/or statistics are encouraged to apply. Successful candidates will be expected to work collaboratively with other experimental postdoctoral fellows, computational biologists, graduate students, and other trainees in the laboratory. High priority will be given to candidates with prior experience in bulk genomic/transcriptomic analysis (including data pre-processing), single-cell transcriptomic analysis, and machine learning methods.
Interested applicants should send a cover letter (describing prior research and future goals, AND listing contact information for 3 references) and a CV to david.braun@yale.edu .
The Braun Lab uses reverse translation to understand human tumor immunology, with the goal of improving immunotherapies for patients with cancer. We are located at Yale University, an internationally-renowned research university located in the historic city of New Haven, Connecticut. Yale has long been recognized as an outstanding environment for nurturing young scientists, with postdoctoral researchers being an integral part of the discovery process.
Join the VACS team!
The Veterans Aging Cohort Study (VACS) is a well-established, international, collaborative network of 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 methods on large, complex, national cohorts derived from electronic health records (EHR) at the Department of Veterans Affairs (VA). VACS has extracted and curated 20+ years of longitudinal EHR data on alcohol and health outcomes in people with and without HIV, allowing us to seek and identify novel medications for the treatment of alcohol and substance use disorders.
The VACS team is seeking a Postdoctoral Associate in Pharmacoepidemiology who will be responsible for conducting NIH-funded mentored research, focusing primarily, but not exclusively, on deriving real-world evidence on the potential safety and effectiveness of repurposed medications to treat alcohol and substance use disorders in people with and without HIV.
The Postdoctoral Associate will join a multi-site, multidisciplinary research team, and be mentored primarily by Dr Christopher Rentsch, PhD (Yale/LSHTM) and Dr Lorenzo Leggio, MD, PhD (NIDA/NIAAA), with the opportunity to collaborate with the wider VACS team 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 electronic health record data 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 pharmacoepidemiological research; includes extracting and cleaning 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 conducting epidemiological analysis on 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 NIH funded and available for a part-time (50% 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
Please note: Due to the part-time (50% FTE) nature of this role, appointees who are not U.S. citizens or permanent residents should ensure such an appointment is consistent with visa requirements.
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.
Postdoctoral Position in RNA-splicing and Systems Biology
RNA-Splicing and Systems Biology
The Robinson lab (Yale Cancer Center Department of Therapeutic Radiology) is seeking a computationally focused postdoctoral candidate with expertise in bioinformatic analysis including analysis and visualization of RNA-seq and related whole genome assays (long read RNA-seq, single cell RNA-seq, DNA mutation analysis, proteomics etc.) to join our translational research team. Individuals who have bench experience are also welcome, but the focus of the position will be to lead bioinformatic analyses conducted in the lab.
Dr. Robinson is a physician scientist radiation oncologist with a research interest in mechanisms of resistance to radiation and T-cell therapies in relapsed and refractory large B-cell lymphomas. Work conducted in the lab has led to the identification of potential splicing-mediated mechanisms of resistance to CAR T-cell and potentially radiation therapy in diffuse large B-cell lymphoma. Applicants with an interest in pursuing an intellectually challenging field and who would like to make a difference in cancer care are encouraged to apply.
Education, Qualifications and Skills:
Required:
- MD, PhD, or MD/PhD degrees
- Expertise/experience in bioinformatics, computational biology, computer science, mathematics, physics, or statistics
- Ability to work collaboratively with experimental postdoctoral fellows and scientists, computational biologists, graduate students, and other trainees in the laboratory.
- Prior experience in bulk genomic/transcriptomic analysis
- Expertise in basic data visualization
- Basic computational biology expertise
- Basic systems biology expertise
Highly desired:
- Expertise in RNA-splicing
- Advanced computational biology skills including motif searching, machine learning, and high-dimensional data visualization skills
- Single-cell transcriptomic analysis
- Whole exome sequencing analysis
- Basic background in cancer biology
- Manuscript writing
Interested candidates should email Timothy Robinson (timothy.j.robinson@yale.edu – note the “j”) and Amy Likens (amy.likens@yale.edu) with a CV, statement of interest and contact information for 2-3 references.
Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities.
Postdoctoral Associate, The Broad Center at the Yale School of Management
Background
The Broad Center at the Yale School of Management (TBC at Yale SOM) seeks applicants for a postdoctoral research associate position who will contribute to TBC at Yale SOM’s vibrant community and share its dedication to helping all students—particularly those from underserved communities—to learn and thrive. TBC at Yale SOM is looking for education scholars whose work demonstrates commitment to improving outcomes for students and aligns with its work to develop public education leaders. Unlike many postdoctoral opportunities in education, this associateship is a unique opportunity for education scholars to benefit from access to elite faculty with expertise in organizational behavior, leadership, and management in addition to their substantive education knowledge. Furthermore, postdoctoral associates will have the chance to build relationships across the TBC at Yale SOM alumni network, which will afford them greater opportunities to engage in research that meaningfully impacts practice.
Postdoctoral associates will spend half of their time on their own research and the other half supporting the research of affiliated faculty members. Postdoctoral associates will benefit from collaboration and mentorship from affiliated faculty members, including Seth Zimmerman, Barbara Biasi, and Jayanti Owens.
The postdoctoral associate program is based in New Haven, CT and begins in summer 2024. The position pays a salary of $90,000 and includes $10,000 for research-related travel (e.g., conferences). The position does not include housing. The position is for an initial term of one year with the possibility of renewal for a second year.
Qualifications
Successful applicants will:
- Hold a Ph.D. in Education, Economics, Public Policy, Sociology, or a related field before the start of the associateship.
- Demonstrate dedication to improving educational outcomes for all students, especially those from historically underserved communities.
- Demonstrate strong research and communication skills.
Application Instructions
Applicants should complete the online application at http://apply.interfolio.com/135367. Required documents include:
- A cover letter that:
- Explains the applicant’s research interests and future goals
- Describes how the associateship contributes to those interests and goals
- Demonstrates the applicant’s interest in the postdoctoral program’s focus on management, governance, and leadership in K-12 education
- A curriculum vitae
- Two writing samples that are either published or of publication quality
- Two letters of recommendation.
Completed applications will be reviewed on a rolling basis, beginning in November 2023. The final application deadline is 11:59 p.m. EST on February 23, 2024. TBC at Yale SOM will not consider late or incomplete applications. Candidates may address questions about the application process to broadcenter@yale.edu with the subject line, “Postdoc application question.”
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its faculty, students, and staff and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Description:
Applicants are invited to apply for a postdoctoral research position in the Department of Astronomy at Yale University in the new research group of Assistant Professor Earl Bellinger. The position is initially for one year, with the possibility of annual renewals for up to two additional years, contingent on performance. The research direction will be flexible and according to mutual interests, aligning broadly with the themes of stellar astrophysics, machine learning, and the analysis of large observational and theoretical data sets.
Conveniently located between New York City and Boston, Yale offers a lively intellectual environment and access to world-class astronomical facilities, including the Keck, Palomar and SMARTS telescopes. Yale is an institutional member of the SDSS-IV and SDSS-V collaborations, and the postdoc may develop projects with these data. The postdoc will have access to High-Performance Computing facilities at Yale. The position will involve travel to collaboration meetings and other related workshops and conferences.
Qualifications:
The successful candidate must have a Ph.D., or equivalent degree by the start date.
Application Instructions:
Applications should upload a cover letter, curriculum vitae, publication list, and a brief (2-3 page) description of research interests to the following URL:
http://apply.interfolio.com/134999
Applicants should also arrange for three letters of recommendation to be submitted to the above URL. The anticipated start date is September 1, 2024, although other start dates are possible. If you have questions, please email earl.bellinger@yale.edu prior to the deadline. Applicants who apply to the Yale Center for Astronomy & Astrophysics (YCAA) Fellowship will also be considered for this position.
The Nandy lab and the Jadi lab in the Departments of Neuroscience & Psychiatry at the Yale School of Medicine have an immediate opening for a Postdoctoral Associate, to investigate the neural mechanisms of perception and attention.
Applicants with the following skills are particularly encouraged to apply: (a) research background in cognitive, systems, or computational neuroscience, (b) expertise in electrophysiology in behaving animals, and/or (c) highly quantitative data analytic skills (possibly including computational modeling). The candidate will carry out high-density multiareal electrophysiological recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses and modeling in a highly collaborative research environment.
This is a multi-year fully funded position. The initial appointment will be for a period of 1 year, with scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled.
Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. The neuroscience community at Yale is highly active and involves interdisciplinary collaborations across multiple academic units including the Departments of Neuroscience, Psychiatry, Psychology, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology, and more. The Wu Tsai Institute, Kavli Institute for Neuroscience, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog.
Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, persons with disabilities, protected veterans, and individuals from underrepresented minority groups are strongly encouraged to apply.
Interested candidates should e-mail their applications to anirvan.nandy@yale.edu. The application should include (1) a CV; (2) a one-page description of research interests; (3) contact information for 3 referees.
Postdoctoral and Research Scientists Positions
Inorganic Carbon and Water Modeling
Available at Yale University
We intend to hire seven professionals (postdoctoral associates and/or research scientists) to participate in the Global Ocean and Land Alkalinization (GOAL-A) Project. This study, which is funded by the Department of Energy (DOE) Earth Shot Program, is a collaboration among scientists at Yale, Georgia Tech, Princeton, and Texas A&M universities that aims to create a soils-to-oceans modeling framework to evaluate the efficacy, co-benefits, and risks of enhanced mineral weathering (EMW) and ocean alkalinity enhancement (OAE). To support this interdisciplinary initiative, we are seeking applicants with proficiency in modeling that is relevant to simulating physical and chemical processes that govern the flows of water, energy, and chemicals within and between watersheds, river networks, the atmosphere, and the ocean. We are especially interested in candidates with expertise in earth-system and climate modeling, ocean circulation/biogeochemical modeling, river-network modeling, watershed modeling, and reactive transport modeling.
At Yale, we are searching for post-doctoral and/or research scientists to focus on:
- Large Scale modeling of water and inorganic carbon including water transport between the ocean and watersheds, the production and transport of alkalinity in soils, riverine transport of inorganic carbon and CO2 gas exchange, and coastal ocean alkalinity cycling.
- Leading and developing innovative systems modeling frameworks to understand geospatial and temporal implications of agricultural liming on CO2 sequestration and river chemistry in the Mississippi River basin
- Facilitating collaborations with researchers in different disciplines and domains
- Mentoring graduate and undergraduate students and advising student course projects.
Required education and experiences of:
- Ph.D. in engineering, oceanography, ecology, hydrology, climate science, chemistry, or systems analysis.
- Experience in the modeling of carbon or water.
- A strong publication record
Successful applicants will be eligible to take part in the Yale Environmental Leadership and Mentoring certificate as well as pursue other career development opportunities available at the Yale POORVU center.
Interested candidates should email a cover letter and their CV, along with a list of at least three references to peter.raymond@yale.edu
Information:
The Department of Biostatistics at Yale School of Public Health (YSPH) is home to Biostatistics faculty who are leaders in developing quantitative methodologies and tools for rigorous scientific research to solve the world’s most challenging problems in biology, medicine, and public health. The Yale School of Public Health’s new Center for Methods in Implementation and Prevention Science (CMIPS) was created to develop and disseminate innovative methodological approaches to address novel study design, causal inference, implementation gaps of intervention studies and to directly improve health outcomes worldwide.
Description:
The Department of Biostatistics & Center for Methods in Implementation and Prevention Science at the Yale School of Public Health (YSPH), Yale University, is seeking a highly motivated full-time Postdoctoral Associate to join our team. The candidate will engage in cutting-edge research, tackling statistical challenges that arise from real-world applications in pragmatic trials and observational studies. The successful candidate will work with Dr. Fan Li to develop causal inference methods for pragmatic clinical trials, including cluster randomized experiments and stepped wedge trials, to address challenges due to estimands specification, multiple treatments, and intercurrent events. The candidate will also collaborate with multidisciplinary researchers at Yale on applying new methods to real-world data. The candidate will be able to attend regular meetings and interact with colleagues from the NIH Collaboratory of Pragmatic Clinical Trials and leaders in pragmatic and effectiveness trials.
For more information about the Department of Biostatistics at YSPH, CMIPS, and the NIH Collaboratory of Pragmatic Clinical Trials, please refer to (1) https://ysph.yale.edu/public-health-research-and-practice/department-research/biostatistics/ (2) https://ysph.yale.edu/cmips/ (3) https://rethinkingclinicaltrials.org/cores-and-working-groups/biostatistics-and-study-design/
Qualifications:
Qualifications required are a PhD in statistics or biostatistics or relevant areas, a strong background in statistical methods and programming, and good writing and communication skills. Prior coursework in longitudinal data methods, clinical trials and causal inference are preferred. Salary will be based on the NIH postdoctoral research salary scale, and support for travel to conferences is also available.
The position is for one year, with renewal in the second year depending on funding and performance. Information on benefits for postdoctoral positions can be found at https://postdocs.yale.edu/postdocs/benefits
Application:
Please apply online: http://apply.interfolio.com/135164
To apply, please submit a CV, cover letter, and contact information for 2-3 references. In your cover letter, please summarize your relevant research experience and indicate your research interest and the date you will be available to start. Applicants must have completed all PhD requirements prior to starting work. Scientific questions regarding this position should be directed to Fan Li at fan.f.li@yale.edu. Applications will be considered as they arrive.
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 Positions in Biostatistics
We seek one or two highly motivated Postdoctoral Associates to advance the frontiers of neuroscience simulation.
Related lab projects include: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs, initialization, performance enhancements).
The Postdoctoral Associate will lead one or more of these projects and will present this work at conferences, in publications, and in the form of open source software. Mentorship and career development opportunities will be tailored to the Postdoctoral Associate’s interests.
Applicants should hold or be about to complete a PhD in a quantitative field (e.g., mathematics, computer science), neuroscience, or a related field. Strong programming skills in Python and C++ are essential, as is scientific excellence as demonstrated through publication history. Experience with the NEURON simulator, in machine learning, numerical methods, and/or GPU computing is desirable, but not required.
The successful candidate will join the McDougal lab (Biostatistics/Health Informatics, Computational Biology and Bioinformatics, Wu Tsai Institute, Biomedical Informatics and Data Science). We are major contributors to the development of the NEURON simulator and run the ModelDB model discovery platform. We additionally have a wide-range of collaborations at Yale and beyond, applying informatics methods to solve biomedical challenges.
Please apply online: http://apply.interfolio.com/135170.
Interested individuals should submit a CV, cover letter, and contact information for three professional references.
Review of applications will begin immediately and will continue until the position is filled. Initial appointment is for one year with the possibility of renewal. Questions regarding this position should be directed to Dr. Robert McDougal at: robert.mcdougal@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 DIGITAL Insights Lab at Yale University School of Medicine (PIs: Drs. Lisa Fucito and Kelly DeMartini) is seeking a Postdoctoral Research Associate (2-3 year appointment; within 5 years of award of their PhD). Appointments are available to start in Winter 2024 (January 1, 2024 or sooner). This is a multi-year position for individuals seeking to become independent scientists in:
(a) Digital psychiatry
(b) Digital health technology
(c) Data science and health informatics
(d) Lifestyle risk behavior change and chronic disease prevention
The postdoctoral associate will work on multiple completed and ongoing NIH-funded studies investigating smartphones, biosensors, and other digital tools for assessing and phenotyping mental health and lifestyle risk behaviors (e.g., heavy alcohol use, tobacco use, deficient sleep), deriving personalized health feedback, and delivering tailored interventions. The fellow will also have the opportunity to analyze electronic health record data and EHR-tools for optimizing healthcare.
Responsibilities include: a) study coordination and oversight, data management and analysis, and supervision of research staff for an NIH-funded longitudinal, digital phenotyping study on alcohol use disorder risk in young adults; b) authoring and co-authoring manuscripts for peer-reviewed publication; c) assisting with NIH-grant writing and submissions.
This position will also assist the associate to develop a career as an independent scientist. The associate will create an individual development plan with their mentors and complete training in areas including, but not limited to: biosensor and passive smartphone sensing technology, clinical trials design, implementation science frameworks, EMA methodology, qualitative research methods, advanced statistical methodologies, and intervention development and evaluation.
Position Requirements: Competitive candidates should have: 1) a Ph.D. in behavioral sciences, public health, data science or related fields; 2) excellent writing skills; 3) strong research background; 4) excellent data and statistical skills; and 5) experience with digital technology and knowledge of machine learning, artificial intelligence, and advanced statistical modeling strongly preferred.
How to Apply: Candidates should apply with: a) cover letter (summarizing research experience, qualifications, and career goals as related to interest in this position); b) CV; c) representative reprints; d) the names and email addresses of 3 individuals familiar with their work who can be contacted for recommendations. Email these materials to Lisa Fucito, PhD and Kelly DeMartini, PhD at: lisa.fucito@yale.edu and kelly.demartini@yale.edu.
Yale University is an Affirmative Action/Equal Opportunity Employer. Women and minority group members are strongly encouraged to apply.
Description:
The Yale Department of Astronomy invites applications for a postdoctoral position to work in the group of Professor Malena Rice. This is a one-year position that will be renewed annually for up to three years, contingent upon performance. The applicant will conduct research in the areas of exoplanet and/or solar system science. Particular topics of interest include exoplanet dynamics, stellar spectroscopy, and outer solar system detection.
Yale offers a lively academic community and access to world-class astronomical facilities, including the Keck and Palomar telescopes. Because Yale is an institutional member of the SDSS-IV and SDSS-V collaborations, the successful applicant can automatically join both. Postdocs in the Yale Department of Astronomy also have access to High-Performance Computing facilities at Yale. The successful applicant will have the opportunity to collaborate with others across the Yale Department of Astronomy, Department of Physics, Department of Earth and Planetary Sciences, and Department of Statistics and Data Science, among others.
The starting date of this position is flexible, with a nominal start date of August 1, 2024.
Qualifications:
Applicants must have a Ph.D., or equivalent degree in physics, astrophysics, or a closely related field by the start of the position. A background in exoplanet or solar system science, especially related to population studies and/or dynamics, is desirable.
Application Instructions:
Applications must be submitted electronically at http://apply.interfolio.com/134876 and should include a curriculum vitae (CV), bibliography, and a research statement (maximum 3 pages) providing a summary of past/current research work and an overview of future plans. Candidates should also arrange for 3 letters of recommendation to be submitted to the above URL by the application deadline of December 15, 2023.
Applications received by December 15, 2023 will receive full consideration. If you have questions, please contact Assistant Professor, Malena Rice, malena.rice@yale.edu.
The Kleinstein Lab (Program in Computational Biology & Bioinformatics; Yale School of Medicine, Department of Pathology) and McDougal Lab (Program in Computational Biology & Bioinformatics; Yale School of Public Health, Department of Biostatistics Division of Health Informatics) are seeking a highly motivated postdoctoral associate to join the NIH-funded Human Immunology Project Consortium (HIPC; https://www.immunespace.org) as a member of the HIPC Data Coordinating Center. The research will focus on the development and application of methods to capture published immune signatures of infection and vaccination in a machine-readable format. This will include: (1) engaging the eight current national HIPC centers to share emerging research results, (2) automating the identification of papers to target for signature capture, and (3) developing natural language processing and information extraction approaches to identify and validate immune signature components (cohorts, immune exposure, response, etc). Involvement in systems immunology analysis projects to identify and compare signatures is possible for interested candidates.
The Kleinstein Lab (https://medicine.yale.edu/lab/kleinstein) pairs big data analyses with immunological domain expertise to better understand how the dynamic processes of the immune system affect the course of infection, vaccination and autoimmunity. The lab has developed many widely used bioinformatics analysis methods for high-throughput immune profiling data, particularly transcriptomic and B cell receptor repertoire sequencing data (https://medicine.yale.edu/lab/kleinstein/software). Dr. Kleinstein is MPI of the HIPC Data Coordinating Center.
The McDougal Lab develops and applies informatics and simulation approaches to gain insight into multiscale biomedical phenomena. They are especially interested in deriving information from scientific artifacts (computational models and papers) and in improving the practice, rigor, and capabilities of simulation studies. The lab is a major contributor to the NEURON simulator (https://nrn.readthedocs.io) and to ModelDB (https://modeldb.science), a discovery tool for computational neuroscience models.
The ideal candidate will have strong quantitative and programming abilities (ideally Python, MongoDB, and web technologies), along with an interest in applying these skills to problems in immunology. A PhD in a quantitative discipline (Bioinformatics, Computer Science, Applied Mathematics, Statistics, etc) and prior experience with information extraction is preferred.
Interested candidates should send a CV and cover letter to: steven.kleinstein@yale.edu
Yale University is an affirmative Action/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans and member of minority groups.
Review of applications will begin immediately and will continue until the position is filled.
Postdoctoral Position in Applied AI, NLP, and Large Language Models in Health Care
Background:
We are thrilled to present an exciting opportunity within the Data and Decision Science Lab in Health Care (DECILE), located within the Section of Biomedical Informatics and Data Science at Yale School of Medicine. The successful candidate will dive into the intricate world of Natural Language Processing (NLP), Large Language Models, and Applied AI, exploring diverse disease states through the application of these technologies and data science methodologies. DECILE is generously funded by various agencies including AHRQ, NIH, and industry collaborations.
Mentoring:
We invite a postdoctoral associate to join our interdisciplinary team of informaticians, physicians, and computational scientists. The associate will report directly to Dr. Andrew Taylor (richard.taylor@yale.edu) and will also collaborate broadly with various researchers and professionals, both internal and external to Yale University, creating a rich, interactive, and supportive research environment.
Training:
The postdoctoral associate will undertake responsibilities related to collating, analyzing, interpreting, and presenting study findings. Training will encompass the practical application of advanced computational frameworks, including Spark and various machine learning libraries, with a pronounced focus on NLP and graph databases. The integration of common data models, such as OMOP, and the use of Electronic Health Record (EHR). Further, the role will delve deeply into Machine Learning, AI, and statistical concepts, applying these skills to investigate clinical conditions and outcomes, and to develop impactful, innovative projects within the lab.
Education, Qualifications, and Skills:
• PhD, or MD/PhD, with research experience in a relevant quantitative discipline such as epidemiology, bioinformatics, biostatistics, computer science, or a related field.
• Substantial expertise and interest in NLP, large language models, and applied AI, particularly within healthcare contexts.
• Experience or familiarity with healthcare and medical terminology.
• Adeptness in utilizing mathematical and/or statistical models.
• Profound interest in computational healthcare, clinical informatics, and data engineering.
• Capacity to analyze data, interpret findings, and present results using various research techniques.
• Proficiency in Python, R, version control, and distributed computing systems.
• Exceptional verbal and written communication skills, with experience in conveying research findings to varied audiences.
• Ability to work independently and collaboratively within an interdisciplinary research team.
This position is available for a one-year appointment, with the possibility of extension upon mutual agreement. Candidates interested in this vibrant opportunity are invited to email Dr. Andrew Taylor (richard.taylor@yale.edu ) with a CV, statement of interest, and contact information for 2-3 references.
Yale University is an affirmative action/equal opportunity employer. Yale values diversity among its faculty, students, and staff and strongly encourages applications from women and underrepresented minorities.
LGBTQ Mental Health Postdoctoral Clinical Research Associate in NYC
The Yale LGBTQ Mental Health Initiative, part of the Yale School of Public Health, is seeking a postdoctoral associate to 1) deliver and supervise the delivery of LGBTQ-affirmative cognitive behavioral therapy (CBT) from our community-based clinical research lab in NYC and (2) become involved in LGBTQ mental health research, including supporting clinical trials operations, analyzing data, and supporting and leading empirical manuscripts regarding LGBTQ mental health, as interests and background permit.
The Yale LGBTQ Mental Health Initiative is currently conducting several NIH-funded studies of LGBTQ-affirmative treatments and mechanisms, as well as community implementation research. The postdoctoral associate would join a dynamic team of faculty, research scientists, and students committed to advancing LGBTQ mental health through research (https://medicine.yale.edu/lgbtqmentalhealth/).
The primary duties for this position involve: (a) delivering short-term LGBTQ-affirmative CBT to LGBTQ individuals living in New York State, remotely from our research offices in Midtown Manhattan, upon receiving training in this therapy from our team, (b) providing supervision to externs and student therapists who are delivering LGBTQ-affirmative CBT, (c) conduct trainings in LGBTQ-affirmative CBT with staff and community partners, (d) overseeing the fidelity of LGBTQ-affirmative CBT delivered in the context of clinical trials, (e) implementing clinical and research protocols, and (f) participating in the research process, including research coordination, data analysis and manuscript preparation.
The position will provide postdoctoral clinical hours and supervision necessary for licensure in New York and other states.
Our office is located in Midtown Manhattan, easily accessible by public transportation.
Successful candidates will possess a doctoral degree in clinical or counseling psychology or related fields. Ideal candidates will possess theoretical and practical knowledge of CBT, have experience working with the LGBTQ community, and have experience treating diverse mental health and substance use problems.
Please apply online: http://apply.interfolio.com/133561
Interested applicants should submit a copy of their CV; a cover letter detailing research interests, relevant experience, and professional goals; and the contact information of three professional references.
For additional information, please contact Dr. Dani Chiaramonte (danielle.chiaramonte@yale.edu). Anticipated start is July 1, 2024, but flexible for outstanding candidates.
Competitive salary and fringe benefits.
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 Yale School of Medicine, Department of Psychiatry, is recruiting one highly motivated bioinformatics postdoctoral associate (2-year appointment) to begin immediately, who aspires to become an independent academic researcher in the areas of addiction genetics and epigenetics and computational psychiatry.
The postdoctoral associate will work primarily with Dr. Ke Xu, Associate Professor of Psychiatry, on NIH-funded studies identifying epigenetic (e.g., DNA methylation) alterations associated with substance misuses in humans. The role will involve analyzing high throughput genomic data, including DNA methylation sequencing, RNAseq, and single cell RNAseq; performing integrative analyses; and delivering analytical results. The applicant will be expected to have the capacity to work independently as well as collaboratively with other members of the lab, experience in developing workflows for sequencing data, and the ability to multitask.
Other research duties will include authoring and co-authoring several manuscripts per year, assisting with grant writing, collaborating with other investigators, and attending professional conferences.
Qualifications include a doctoral degree in genetics/epigenetics, statistical genetics, mental health, bioinformatics, or other relevant areas at the time the position begins and excellent project management and writing skills. Excellent programming skills (R or Python, Linux shell scripting) and experience with high performance computing in Linux environment is required. Experience with psychiatric disorder research and 1-2 years prior post-doctoral experience are preferred but not required. Yale University is an Equal Opportunity/Affirmative Action Employer and actively solicits applications from women and minority candidates.
Applicant Instructions:
To apply, please send a single PDF documenting the following to ke.xu@yale.edu:
- Cover letter detailing previous research experience, interests, and career goals
- CV
- Names and contact information of three academic references
Postdoctoral Research Fellow
The Yale Center for Molecular and Systems Metabolism and Department of Comparative Medicine at Yale University School of Medicine has a postdoctoral research position available for a highly motivated PhD graduate. The successful candidate will join a group of young and motivated scientists in the Alagpulinsa laboratory, located in the Yale Sterling Hall of Medicine, to study hematopoiesis and metabolic diseases, with a particular focus on type 1 diabetes and atherosclerotic cardiovascular disease. The ideal candidate would have a strong background and knowledge of molecular biology or immunology and the biomedical sciences in general. A demonstrated success as a recent PhD graduate, with ability to or strong interest in applying single-cell multi-omics and statistical bioinformatics approaches in conjunction with mouse models are desirable. Although there are well-laid out projects with strong preliminary data for an easy start, the position is well-suited for a candidate who has a clear vision and thinks outside the box, with the desire and motivation to expand their research and ultimately develop an independent research program and transition to independence. The successful candidate will receive excellent mentoring and guidance, and the resources needed to thrive and accomplish their research and career goals.
Qualifications and Responsibilities
- Hands-on experience with basic molecular biology and immunology techniques such as recombinant DNA techniques, RNA isolation, RT-PCR, western blotting, immunohistochemistry, flow cytometry and immunofluorescence microscopy.
- Proficient in mammalian cell culture and lentiviral transduction or willingness to learn.
- Experience with mouse work and/or willingness to learn and work with mice.
- Knowledge of NGS and single-cell sequencing technologies and familiarity with diverse biostatistics and data analysis software packages such as R would be a plus.
- Successful candidate will assume an increasing trajectory of project responsibility in preparation for an independent research career. Components include reviewing and discussing literature in lab meetings and with the PI, routinely tracking and documenting results in electronic and hard-copy laboratory notebooks and databases, analysis, summarization, and presentation of experimental results to other team members, active participation in manuscript preparation and publication.
- Biosafety Levels 1-3 experience or willingness to work in these is desirable.
EDUCATION REQUIREMENT:
• Ph.D. in biomedical or life sciences, computational biology and/or related disciplines, especially recent PhD graduates.
Qualified candidates interested in applying, please email your CV and cover letter outlining research and career goals to David Alagpulinsa (david.alagpulinsa@yale.edu) and apply online here as well.
- characterizing the emergence of a transient progenitor population derived from alveolar stem cells following injury using precision cut lung slice culture and live timelapse imaging of intact lung tissue.
- combined scRNA-seq and scATAC-seq to define the cell trajectories and gene regulatory networks that drive stem cell transitions in the in vivomouse lung following injury.
- multiphoton live imaging via a permanent lung window in the mouse to uncover dynamic behavior of individual alveolar stem cells over 2 – 4 weeks following injury.
- in vivo single cell ablation to uncover fundamental principles of alveolar stem cell-niche interactions and how different cells in the niche are important for homeostasis and repair.
- a microfluidics-based approach to uncover key signaling pathways and other mechanisms that modulate alveolar stem cell migration
- Mentorship and career development are a priority in the lab.
- Trainees will have regular meetings with the PI (Mau Chioccioli) to discuss the project, the relevant scientific background and career goals.
- The postdoctoral scientist will develop laboratory technical skills as well as data presentation, visualization, and scientific writing and presentation, with the expectation that the candidate will gain independence and autonomy.
- The postdoctoral scientist will have the opportunity to conduct cuttingresearch under the PI supervision.
- The postdoctoral scientist will be able to attend the Genetics and CMED seminars, retreats, gatherings and be part of a vibrant research community.
- Mentoring will be tailored to individual needs based on the successful applicant’s long-term career goals.
Education & qualifications
Applicants should have, or be close to obtaining, a PhD in a relevant field such as genetics, cell biology, molecular biology, developmental biology, or related areas.
Key Experience and Competencies
- Hands-on experience with mouse genetic models.
- Interest in the lung epithelial stem cell field.
- Essential mammalian cellular/molecular biology techniques.
- Proficient in the application of both 2P and confocal is considered a plus.
- Quantitative image processing and analysis, combining tools such as ImageJ, IMARIS
- Skilled in the use of programming languages including R and Matlab.
- Publish research findings in high-impact scientific journals and present at international conferences.
- The candidate should display a high level of personal initiative and be able to organize their time effectively to tackle both short- and long-term goals
- The candidate should be able to work responsibly with others and have excellent listening skills and strong verbal and written communication skills, with the ability to keep accurate and informative lab notebooks and create and deliver in-person presentations.
A post-doctoral fellow position is available in the laboratory of Dr. Manoj M. Pillai (http://medicine.yale.edu/lab/pillai/index.aspx), Section of Hematology at Yale Cancer Center and Dept. of Medicine, Yale School of Medicine. The laboratory focuses broadly on regulation of hematopoiesis with specific emphasis on RNA mechanisms of its regulation. The ideal candidate will be familiar with general molecular biology techniques (PCR, cloning and preparation of next generation libraries, viral vector preparation), protein chemistry (Western, sample prep for Mass-Spec) and general hematology-related techniques such as tissue culture and flow-cytometry. Candidates who are not proficient in all of the above, but eager to learn and adapt techniques are also welcome to apply.
Please include a current CV to Manoj.Pillai@Yale.edu. Yale University is an equal opportunity employer, salary and benefits will be commensurate to the experience and skill level of applicants.
Yale’s Institute for Foundations of Data Science (FDS) is seeking applications for postdoctoral positions. These will be generously supported postdoctoral positions, expected to last 2-3 years, for independent scholars working on the foundations of data science. FDS postdocs can select multiple mentors from among the members of the institute, and can change their mentors during their fellowship. This is an opportunity to work with leading theorists as well as domain scientists who are eager to collaborate. A list of the members may be found on our web page, fds.yale.edu.
Yale’s Data Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary activities in which the postdocs could participate, including a Data Intensive Social Science Center, a center for Biomedical Data Science, and the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power.
FDS launched in October of 2022 and moved into a newly renovated Kline Tower in the summer of 2023 along with the departments of Statistics & Data Science, Mathematics, and Astronomy. The institute was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational research, the institute hosts activities to help scholars across the university apply new methods of data science to their research. In turn, those scholars help us discover their unmet needs and thereby inspire the development of new methods and theories.
Applying
Follow this link to apply: https://academicjobsonline.org/ajo/jobs/25695
Timeline: Postdoctoral appointments typically begin in July to September, but other arrangements are possible. We will begin reviewing applications on November 1st, 2023. Applications received by then will receive full consideration.
Please submit your application materials via this portal only. Questions may be sent to FDS Managing Director Tom Keegan at thomas.keegan@yale.edu
The Yale Center for Natural Carbon Capture[1] (YCNCC), in collaboration with the Advanced Prototyping Center[2] (APC) seeks a post-doctoral candidate to work on alkalinity monitoring in aquatic systems. The candidate will help with the ongoing development of a new instrument to measure alkalinity in the environment and work with Yale scientists to deploy the instrument in a variety of systems where research is being performed to capture atmospheric CO2 through alkalinization and pH management.
Responsibilities
- Learn how to build, operate, and troubleshoot prototype instruments. Suggest and implement improvements and iterations
- Work in collaboration with Yale scientists who are currently researching natural climate solutions involving alkalinity production in natural and engineered systems
- Author peer-reviewed publications and public reports
Potential education and experience
- Candidates must have a PhD in a relevant field or discipline, such as biogeochemistry, chemistry, chemical oceanography, or engineering
- Proficiency in chemical analysis
- Proficiency in field work
- Demonstrated ability to work as part of a team
- Excellent writing and presentation skills in English
- Interest in electronics design and development
The positions are full-time appointments for one year, with full benefits, and with the possibility of renewal for a second year, dependent upon performance and availability of funding. Please send a CV and email of interest to Pete Raymond at the Yale School of the Environment (peter.raymond@yale.edu)
AWE Postdoctoral Position in Urban Ecology
A postdoctoral position is available with the Applied Wildlife Ecology (AWE) Lab at the Yale School of the Environment under the supervision of Prof. Nyeema C. Harris, Knobloch Family Associate Professor of Wildlife and Land Conservation. The AWE Lab investigates antagonistic interactions in mammal systems including parasitism, competition, and predation namely in terrestrial carnivores. Our work has direct implications to species management through understanding ecological and environmental interactions.
We seek a committed, self-motivated, problem solving individual to investigate urban ecology through lens of social science, public health, and global change. The individual will be conscious of the myriad social and ecological interactions that cities create, which can lead to vulnerable populations within a landscape of fear for urban carnivores. We are interested in identifying areas of vulnerability for human-wildlife conflict in cities across North America. We are also interested in launching new wildlife surveys for comparative studies in cities around the world, particularly in the Global South. This includes investigating movement patterns of carnivores across gradients of air-quality, noise and environmental pollution. Additionally, the individual will help to plan and implement natural experiments testing how carnivores respond to stress and pressure from living in close proximity to humans.
Qualifications for the position include a Ph.D. in ecology, wildlife biology, geography, or a related field. Experience and familiarity with experience in chemical immobilization, carnivore collaring, trail cameras, and environmental sampling and data are preferred for this position. Demonstrated analytical experience includes hotspot analysis both from occupancy modelling, as well as movement data from GPS collars. This individual will have a growing publication record, and exceptional research and communication skills needed for leading teams in urban fieldwork settings. The ideal candidate should have demonstrated competency or emergent interests in urban fieldwork, as well as Arc GIS, RGoogle Earth Engine. Interest or familiarity with climatic data, iNaturalist or other crowd sourced data, participatory mapping, maximum entropy modelling, machine learning are also a bonus.
The position responsibilities include tasks related to research topics above, co-authoring papers, and mentoring students and technicians. AWE Lab members are expected to participate in lab meetings, retreats, field work and training activities as well as public engagement initiatives throughout the year. Public engagement and public science are fundamental to the AWE Lab, which seeks to inspire new generations of scientists and create opportunities for non-scientists to contribute in combatting the ecological and environmental challenges facing our planet. Diversity, equity, justice and inclusion are also core values in the AWE Lab and we are committed to ensuring the lab reflects those values and integrates them into our work. As such, we strongly encourage applications from researchers identifying as members of marginalized or underrepresented groups.
Yale University provides a stimulating academic community, situated among the Peabody Museum and Institute of Biospheric Studies(YIBS). The University offers its postdocs and staff a generous benefits package and is located in New Haven (75 miles north of New York City). This is a one-year position supported directed by Dr. Harris and YIBS, beginning asap with reappointment for an addition year based on outstanding performance and availability of funds. In addition to a competitive salary and full research support, the successful candidate will receive an annual professional development budget for additional trainings and conference participation.
To apply, please send a cover letter, CV (hyperlink publications), contact info for three referees, and “Urban Ecology Postdoc” in the subject line to: joseph.poggi@yale.edu. Joe serves as the Lab Manager for the AWE Lab and will support the hiring process. Ideally, the anticipated start date for this position is on or before October 31st.
Postdoctoral Associate
Yale Center for Genome Analysis
Yale University, School of Medicine
The Yale Center for Genome Analysis (YCGA) is one of the most prominent genome centers. YCGA utilizes diverse cutting-edge genomic technologies to advance biomedical and life sciences breakthroughs. http://ycga.yale.edu/index.aspx
We seek a postdoctoral associate with cell/molecular biology expertise to assist YCGA in developing novel technology platforms and evaluating the existing platform for offering a new service. This position envisages training opportunities for recent PhDs (not more than two years of postdoctoral experience) to take a future job in a service core facility or technology development centers in academia or pharmaceutical /biotechnology-based companies. The successful candidate will get an opportunity to manage clients, training in project management, opportunity to develop SOPs, impart training to users in technology usage and data interpretation, offer consultation in experimental design and analytical needs, research budgeting, optimize new technology for YCGA use, and development of new technology platforms. The area of current interest in new technology platforms includes proteogenomic, functional characterization of DNA variants using tools such as CRISPR, and spatial genomics. The ideal candidate must also be able to interact with Yale investigators using YCGA, bioinformatics, and HPC staff. It is anticipated that the individual will continue to build on their career and professional development by attending conferences and/or workshops on new technology. As well as participate in career and professional development activities through the Office for Postdoctoral Affairs, https://postdocs.yale.edu/career-development. Resources and postdoc benefits information is available at https://postdocs.yale.edu/postdocs.
Applicants must hold a Ph.D. with strong preference given to candidates with a degree in molecular/genomic biology or a related field. The ideal candidate will have Proficiency in cell biology, Protein extraction/characterization, and protein-based assays. Experience in next-generation sequencing, NGS data analysis, CRISPR technology or single-cell genomics is a plus.
The successful candidate will be highly motivated and have the following attributes:
- Excellent interpersonal and communication skills
- Ability to work in a team environment.
- Excellent organization skills and ability to multitask and prioritize work
Review of applications will begin immediately and continue until the position is filled. Please email or mail your curriculum vitae, a description of relevant experience, and two letters of reference to:
Shrikant Mane, Ph.D.
Director, Yale Center for Genome Analysis
Professor of Genetics
Yale University School of Medicine
830 West Campus Drive
West Haven, CT 06516
E-mail: shrikant.mane@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 Kleinstein Lab (Program in Computational Biology and Bioinformatics) is seeking two highly motivated researchers in computational immunology. These can be Associate Research Scientist (research rank faculty) or Postdoctoral Associate positions, depending on experience. The successful candidates will work in a highly collaborative environment on systems-level human immune profiling studies. Available projects include both computational methods development and applications in collaboration with experimental and clinical groups as part of grant-funded projects, such as the NIH Human Immunology Project Consortium (HIPC) and DARPA Assessing Immune Memory (AIM). Potential research areas include:
- Identification of signatures that relate to outcomes of human vaccination and infection.
- Development of multi-omics modules to support integrative signature analysis.
- Tensor decomposition methods for multi-omics immunology data analysis.
- Analysis of high-throughput single-cell B cell receptor (BCR) repertoire sequencing data.
Other areas of research focus that are consistent with the general themes of the lab are also possible.
The Kleinstein Lab pairs big data analyses with immunological expertise to better understand how the dynamic processes of the immune system drive the course of infection, vaccination and autoimmunity. The lab has developed many widely used analysis methods for high-throughput immune profiling data, particularly transcriptomic and B cell receptor repertoire sequencing data. We currently make available the Immcantation framework, a start-to-finish analytical ecosystem for high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets.
The ideal candidate will have strong quantitative and programming abilities (ideally R and Python), along with an interest in applying these skills to problems in immunology. A Ph.D. in a quantitative discipline is desired (Bioinformatics, Computer Science, Statistics, Physics, Applied Mathematics, etc.). We are seeking a candidate with interpersonal skills and that thrives in a collaborative environment, fostering teamwork and open communication.
Interested candidates should send a CV and short description of research interests to: steven.kleinstein@yale.edu
Yale University is an affirmative Acton/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans and member of minority groups.
Review of applications will begin immediately and will continue until the position is filled.
- 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)
Postdoctoral Associate in Health Policy and Management
New Haven, CT
A postdoctoral fellowship is available with Professor Abigail Friedman in the Department of Health Policy and Management at the Yale School of Public Health. Professor Friedman is a health economist whose research focuses on the policy drivers of tobacco and substance use. This postdoctoral fellowship will focus on a series of grant-funded projects investigating the policy determinants of tobacco/nicotine and cannabis product use.
The successful candidate will hold a PhD by the start of appointment, be proficient in Stata with strong econometric skills, and have experience executing difference-in-differences analyses using newer methods that address concerns about bias from heterogeneous and/or dynamic treatment effects. Attention to detail as well as the ability to work both independently and as part of a larger, multidisciplinary team are critical for this role, as collaborators include health economists, mathematical modelers, and policy experts across several academic institutions. Responsibilities will focus on data preparation, coding and implementation of quasi-experimental analyses under the guidance of Professor Friedman, preparing data tables and figures for presentation and manuscripts, and contribution to manuscript revisions and project development at a level consistent with co-authorship. The candidate may also contribute to the development of new grant applications.
Successful applicants may come from backgrounds in a variety of fields, including but not limited to economics, health policy, public policy and sociology. Priority will be given to applicants with an active interest in applying quasi-experimental research designs to understand the policy-relevant determinants of tobacco and substance use. Contingent on success during the postdoctoral periods, opportunities for advancement within this research team may be available.
Start date: Fall 2023
Length of appointment: One year, renewable for two additional years, with possibility of promotion thereafter
To apply: Please submit 1) a cover letter describing your research interests and interest in the position, 2) a curriculum vitae, 3) contact information for two references, and 4) (preferred but not required) a research or job market paper.
Please apply online: http://apply.interfolio.com/129342
Applicants must have a doctoral degree from an accredited institution (expected completion by January 1, 2024 is acceptable). Applications will be considered 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.
Vascular Biology Postdoctoral Research Position
Vascular Biology and Therapeutics Program
Department of Pediatrics, Section of Critical Care Medicine
A postdoc position is available in the laboratory of Dr. Ric Pierce. Research in the Pierce group focuses on blood vessel dysfunction in the setting of acute critical illness. Our group exists to understand how to identify and treat blood vessel dysfunction, with the ultimate goal to reduce death and disability in patients. Our work is highly translational, with research questions arising directly from critically ill children. We are highly collaborative, working with many medical and scientific subspecialties to solve critical clinical problems that will ultimately improve the health of children. Check us out at: https://medicine.yale.edu/lab/pierce/ and on Twitter @Pierce_Vasc_Lab
We are seeking highly self-motivated applicants with competence in standard cellular and molecular biology techniques. Experience with culturing primary human endothelial cells, such as HUVEC, is required. Additional training for more specific assays and techniques utilized by our lab will be provided as needed. As a core member of the Pierce lab, you will be expected to work at the bench, interpret data, and troubleshoot experiments independently. Personal drive for independent investigation, creativity, and excellent communication skills are expected, and we will help develop these skills during training. Information about salary, benefits, and career development opportunities can be found at https://postdocs.yale.edu/postdocs.
Yale‘s Department of Pediatrics (https://medicine.yale.edu/pediatrics/research/),Vascular Biology and Therapeutics (https://medicine.yale.edu/vbt/) and Human and Translational Immunology (https://medicine.yale.edu/immuno/programs/hti/) Programs are unique, highly supportive and collaborative environments which combine the investigative strengths of outstanding laboratory-based faculty with strong interdisciplinary clinical teams. We will help you achieve your goals by continuous professional development and regular career progression sessions along with participation in seminars, annual retreats, and programs within Pediatrics, VBT, HTI and Yale School of Medicine. This is an excellent and supportive environment for a highly motivated candidate. Grant and manuscript writing classes, mentorship seminars, near-peer workgroups and other opportunities are available to assist with professional development and are expected aspects of training.
Interested applicants should send a curriculum vitae and contact information for three references to the following address: lisa.palmieri@yale.edu or Lisa Palmieri, Department of Pediatrics, 333 Cedar Street, PO Box 208064, New Haven, CT 06520-8064.
Yale University is an Affirmative Action/Equal Opportunity Employer and strongly encourages applications from women, persons who identify with groups traditionally underrepresented in science and medicine, persons with disabilities, and protected veterans.
Position Overview:
We are seeking a highly motivated postdoctoral fellow to join the research team led by Dr. Paulo Brando at the Yale School of the Environment. This position offers an exciting opportunity to contribute to cutting-edge research on deforestation, forest fires, ecosystem ecology, and climatic extremes in tropical regions, focusing on Amazonia. The successful candidate will work closely with Dr. Brando and other team members to conduct research on the causes and consequences of forest degradation using remote sensing and quantitative methods.
Responsibilities:
1. Conduct independent research and collaborate with the research team on projects related to deforestation in Amazonia, forest fires, edge effects, ecosystem ecology, and climatic extremes.
2. Collect, process, and analyze remote sensing data, including satellite imagery and other spatial datasets, to assess land cover changes, vegetation dynamics, climate extremes, and fire mapping.
3. Apply quantitative methods, statistical techniques, and modeling approaches to analyze large datasets and generate meaningful insights.
4. Contribute to designing and implementing field-based experiments and data collection in southeast Amazonia.
5. Prepare research manuscripts, reports, and presentations for scientific conferences and publications.
6. Collaborate with interdisciplinary teams and assist in project coordination, including organizing meetings, maintaining project documentation, and assisting with grant proposals.
7. Mentor and supervise junior researchers, including undergraduate and graduate students, providing guidance and support in their research activities.
8. Stay updated with the latest scientific advancements and literature in deforestation, forest fires, edge effects, ecosystem ecology, and climatic extremes.
Qualifications:
1. A Ph.D. in ecology, environmental science, geography, or a related field.
2. Strong background and expertise in topics of remote sensing, statistical methods, and/or ecosystem modeling.
3. Demonstrated experience in applying quantitative methods, statistical analysis, and modeling approaches to large datasets.
4. Ability to collaborate with other team members.
5. Excellent written and verbal communication skills, with the ability to prepare scientific manuscripts and present research findings.
6. Experience organizing and conducting fieldwork in challenging environments, preferably tropical rainforests.
7. Familiarity with programming languages such as R, Python, or MATLAB for data manipulation and analysis is desirable.
8. Commitment to diversity, equity, and inclusion. Strongly interested in promoting minority representation in the scientific community.
This position encourages applications from candidates from minority groups and is committed to fostering diversity and inclusion in the workplace.
Please get in touch with paulo.brando@yale.edu if you have any questions.
Yale University School of Medicine
The Vinetz Laboratory in the Section of Infectious Diseases is seeking postdoctoral candidates interested in 1) biotechnology of vaccines; and 2) immunology of vaccine-mediated protection against bacterial infectious diseases.
Our lab provides exceptional basic science and translational research environment, with direct connections to tropical disease-endemic field sites.
Candidates with experience in molecular biology, recombinant protein expression (bacterial, insect, algae, mammalian cells), protein purification using various chromatographic methods, flow cytometry, confocal microscopy, immunology and small animal models of infectious disease pathogenesis are encouraged to apply. Ideal candidates should have a combination of skills in biotechnology, protein engineering/purification/characterization, immunology, molecular biology and genomic analysis. Excellent communication and writing skills are essential for this position. Salary is based on research experience and on published university norms:
https://postdocs.yale.edu/policies/postdoc-compensation
Interested applicants should send a CV, cover letter describing research interest, your reasons to apply to my lab including long-term career goals, and names/contact information for 3 references to joseph.vinetz@yale.edu. Very important is a demonstrated, published track record of success in a combination of the above skills.
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, Nephrology (CTRA)
Full-time paid postdoctoral associate training position beginning Summer 2023 in the Department of Internal Medicine within the Clinical and Translational Research Accelerator. The position is available for 1 or more years (renewal is contingent on ongoing funding and satisfactory performance).
Mentorship
The lab has several ongoing clinical research studies focusing on developing novel technologies and biomarkers related to various kidney diseases. Past graduates have pursued residency in Internal Medicine/Pediatrics after completion. The Clinical and Translational Research Accelerator is composed of a collaborative group of physician-scientists, research fellows, post-docs, post-grads, biostatisticians, nurses, and study coordinators. Our group prides itself in providing strong mentorship for trainees, promoting academic excellence, and achieving work-life balance.
Education
Requirements for the position include MD (or foreign equivalent) or PhD with expected graduation June 2023 or earlier. Prior experience in a research laboratory or hospital is preferred. Statistical skills and interpersonal skills are highly valued.
Training
The position provides hands-on training in patient-oriented biomedical research with the opportunity to interact with both patients and healthcare professionals in hospital, clinic, and laboratory settings. Responsibilities may include but are not limited to: assistance in clinical data and quality management, consenting/interacting with patients, developing presentations, biospecimen processing, reporting at team meetings, and data management/analysis. There will be opportunities to participate in abstract and manuscript publication and to lead studies.
Further details about the Clinical and Translational Research Accelerator is available at https://medicine.yale.edu/intmed/ctra/profile/dennis-moledina/
Interested applicants should send their resume with cover letter todennis.moledina@yale.edu"> dennis.moledina@yale.edu
The Slessarev Lab is recruiting a Postdoctoral Associate (PA) for a two year position to study the global-scale geography of soil minerals and the role of soil mineralogy in facilitating soil organic carbon storage. The PA will be responsible for creating a harmonized global database of soil geochemical data and inferring soil mineralogical composition and chemical weathering indices from these data. The PA will apply a combination of statistical and process-based modeling approaches to partition the roles of environmental and geologic drivers in determining soil mineralogy and create global spatial predictions of major soil minerals. The PA will also explore regional associations between soil mineralogy and organic carbon stocks using observations derived from public data sources.
Candidates from backgrounds underrepresented in science are encouraged to apply. The PA will have the freedom to allocate 10% of their effort to outreach promoting diversity, equity, and inclusion or translating their research to support environmental justice. Yale University is an Equal Opportunity/Affirmative Action Employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans and members of under-represented groups.
Core qualifications:
- A PhD in soil science, ecology, geology, or any field dealing with Earth’s “critical zone”
- Enthusiasm for studying soil formation as a natural process and its role in the carbon cycle
- Coding proficiency (e.g., R, Python)
- Excellent oral and written communication skills
Preferred skills:
- Experience with process-based biogeochemical, geomorphic, or geochemical modeling, statistical modeling, or machine learning.
- Experience with geospatial analysis.
- Note: This position is heavily computational, but robust understanding of soil forming processes will be a priority when reviewing applications. Please feel free to apply even if you have only basic proficiency writing code provided that you are strongly motivated to learn computational skills on the job.
Application link: http://apply.interfolio.com/128453
To apply upload the following documents:
(1) A short (1 page or less) cover letter explaining
a. What motivated you to apply for this position
b. What relevant skills you bring
c. What skills you hope to acquire.
(2) Your CV
(3) Contact information for three references,
(4) A writing sample (e.g., published or in prep manuscript or dissertation chapter)
Review of applications will begin 7/20/23 on a rolling basis and end when the position is filled
A postdoctoral associate position is available in the Miller-Jensen laboratory in the Department of Biomedical Engineering at Yale University. We are seeking a highly motivated individual to join our interdisciplinary team using systems biology approaches to study the regulatory networks of innate immune cells in health and disease. We are particularly interested in studying macrophage and myeloid cell functional plasticity and defining the signaling and transcriptional regulatory networks that control macrophage heterogeneity.
The postdoctoral candidate will the develop genome engineering strategies to tune cell-to-cell heterogeneity in primary murine macrophages and explore the biological functionality of these engineered cells in vitro and in vivo. The postdoctoral candidate will work closely with collaborators to develop mathematical models of the emergent population-level behaviors. This position is supported through NSF- and NIH-funded grants. Our lab is a member of the new Center for Systems and Engineering Immunity (CSEI) where the postdoctoral candidate will join a vibrant and growing community of systems immunologists at Yale.
Applicants should hold, or be about to complete, a PhD or MD/PhD in immunology or biomedical engineering, or related fields. Individuals with experience in innate immunity, genome engineering, cell signaling biology, or any relevant experimental experience and a strong interest in immunology are encouraged to apply. Strong oral and written communication skills, along with a record of research productivity, are essential.
The position is available immediately but will be held for an ideal candidate. Applicants should include a summary of research interests and goals, CV, and names and contact information of three references. Please send materials as a PDF to:
Kathryn Miller-Jensen, PhD
kathryn.miller-jensen@yale.edu
Department of Biomedical Engineering
Yale University
Research in the Yimlamai Lab is directed at understanding the drivers of human disease. Our focus is on the cell biology of epithelial cells with immune cells, particularly monocytes and macrophages. Recently, we have discovered novel cellular cues which modify tissue metabolism. We are interested in understanding the biologic effects of a Western diet (ie. high fat, high fructose diets) on the inflammation of organs such as the liver, muscle and adipose tissue and in turn, how they metabolize and store fat, sugars and protein.
We are seeking a motivated, dynamic postdoctoral candidate who is interested in applying next generation sequencing (bulk, RNA, single-cell, chromatin), cell biology, organoid and animal model approaches to understanding fundamental mechanisms in immunometabolism. As a member of the Yale Liver center, lab members have access to the Morphology cores with State-of-the-art cell and molecular imaging facilities. During this time, the successful applicant will obtain further training on in vivo models as well as a range of cell and molecular biology techniques.
The candidate will be expected to have an MD, PhD, or MD/PhD with experience in cellular and molecular biology. The successful candidate will have the capacity for independent evaluation of the literature. Prior knowledge in cell culture techniques, primary cell isolation/culture, flow cytometry and imaging techniques would be an added benefit. For more information on our group, please see our website – www.liverstemcells.org
Interested applicants should send a brief statement of interest and curriculum vitae with contact information for three references to the Principal Investigator, Dr. Dean Yimlamai - dean.yimlamai@yale.edu
An exciting Postdoctoral Fellowship opportunity is currently available in the laboratory of Arya Mani, M.D. at the Yale University Cardiovascular Research Center. We are seeking a highly motivated individual to join our team of researchers and contribute to a study focused on investigating the role of exocrine pancreas and macrophages in the development of type 2 diabetes. This research project involves an animal model of a human disease gene discovered by our lab (Esteghamat & Mani, Nat. Genet 2019).
To be considered for this position, candidates should meet the following education, experience, and skill requirements:
- PhD in the field of biological sciences.
- Proficiency in animal breeding and handling, along with a strong foundation in basic techniques of molecular biology and metabolism.
- Prior experience working with pancreas, as well as possessing critical thinking, communication, teamwork, organizational skills, and scientific writing abilities.
Our laboratory is highly productive, and our team members consistently publish their work in high-impact journals. This opportunity provides an excellent environment for professional growth and collaboration.
Interested candidates are encouraged to contact Dr. Arya Mani directly via email at arya.mani@yale.edu<mailto:arya.mani@yale.edu>.
Yale Department of Neurology
Work Model
Hybrid, but predominantly in-person.
Position Focus:
This position will function as a lead data analytics and bioinformatics expert in the laboratory who will lead the processing, quality checks, all stages of data analyses, interpretation and visual representation of data that emerge from proteomics (mass spectrometry) AND transcriptomics (bulk and single cell RNAseq) studies performed in the laboratory. The position will also interface with biologists in the team, to address their data needs, provide input in analytical plans and execute these plans in a timely manner. The position will require excellent multitasking abilities, and a hands-on and deep knowledge of programming languages not limited to R, Python, and SPSS. The individual will be responsible for data management, data storage, cataloging of all data, data cleanup and will also ensure that datasets are appropriately disseminated to the public (via deposition in public repositories) after scientific publications. The position will also participate in grant writing, manuscript preparation, scientific presentations and lab meetings. The individual needs to have a demonstrated ability to constantly improve and keep abreast with rapidly evolving fields of bioinformatics, systems biology and will therefore be expected to attend data science seminars, conferences and workshops. The individual will also take mentoring roles focused on improving data analytical skills among all laboratory members, including senior members, technicians and trainees (pre- and post-doctoral).
Essential Duties
1. Serves as the biostatistician and the primary data manager for the division in a bioinformatics leadership capacity, as well as the administrator for a large departmental data repository currently in the planning stages of development, which will house all current and future research study data.
2. Writes policy and standard operating procedures for data monitoring, data management, data repository development, data verification and oversees compliance with information security etc.
3. Designs data architecture, establishes data dictionaries, uses statistical programming and transitions old databases into the new RedCap system.
4. Manages and constructs limited use de-identified datasets for permitted, shared use, overseeing proper authorization for data use agreements and secure release of information from the repository according to regulatory policy.
5. Works with research project teams to determine needs for coding conventions, data summary sheets and develops scoring algorithms for raw data sets.
6. Converts data stored in existing databases (i.e. Excel, MS Access, SQL etc.) into one universal format for RedCap database use, if needed/appropriate.
7. Uses statistical computer programs (e.g. SAS, SPSS) and existing database programs to construct and manage limited datasets relevant for immediate analyses in CND projects.
8. Develops data conventions for managing incomplete data sets, runs query checks and resolves edits and out of range values with study teams, documenting all processes; overseeing this process when done by others.
9. Works in conjunction statisticians at collaborating research institutions to ensure uniformity in data entry and storage methods for shared projects across sites.
10. Conducts interim statistical analyses on study data to assist investigators with go, no-go decision making for their research projects, as well as final analyses for publication of results.
11. Provides expert advice with regard to data management strategies, data storage strategies and forms development to division staff, overseeing this work done by others.
12. Serves as subject matter expert and data liaison for all aspects of the division’s data collection and management, including: statistical sections of study protocols, final study reports, final statistical analyses for research projects and data repository utilization.
13. Summarizes complex statistical data into tables and graphs for papers, presentations and meetings.
14. Supervises staff members directly and indirectly influences and oversees the work standards of all research staff within the division who enter, manage, verify and monitor data.
15. Develops and maintains data systems designed to ensure that databases used for research projects comply with administrative policies, procedures and requirements set forth by both the incumbent as well as the Research Office, Institutional Review Boards, Office of Research Oversight and the data security guidelines outlined by the Information Security and Compliance Offices, as well as overseeing proper authorization for data use agreements and secure release of information from the data repository according to regulatory policy.
Required Education and Experience
1. Master’s Degree in statistics, bioinformatics, epidemiology or a related field and 2 years of related experience,
2. PhD in computational biology/bioinformatics OR PhD in neuroscience/immunology + extensive hands-on experience with RNAseq and/or proteomics data analyses
Required Skill/Ability 1:
Familiarity with RNAseq pipelines (not limited to deseq2, EdgeR and Limma packages). Familiarity with proteomics pipelines (not limited to MAxQuant, Proteome Discoverer, MSFragpipe). Experience single cell RNAseq data analysis strongly preferred.
Required Skill/Ability 2:
Ability to independently troubleshoot analytic pipelines, and custom build pipelines to suit experimental needs. Ability to adopt existing code/pipelines from open-source forums (Ex.GitHub) and implement for in-house use.
Required Skill/Ability 3:
Demonstrated ability in Bioinformatics pipeline development, including RNAseq and proteomics analyses, including differential expression analysis, network analysis, gene set enrichment and pathway analysis. Quantitative academic focus and >2 years of data analysis/programming experience; or equivalent combination of education and experience.
Required Skill/Ability 4:
Extensive knowledge of and ability to apply standard software development principles, theories, concepts and techniques to data analysis. Strong programming skills in R, and/or Python. Demonstrated ability with data handing and processing using Amazon Cloud services (AWS). Managing large data sets.
Required Skill/Ability 5:
Excellent written and oral communication skills. Ability to effectively communicate with bioinformatics personnel/experts from other institutions to independently plan analytic pipelines. Ability to assemble high-quality figures for grants and publications. Ability to assemble slides and posters for talks/presentations
Preferred Education, Experience and Skills:
Master’s Degree in Biostatistics or Statistics AND two years of experience; or equivalent combination of education and experience, in the analyses of mass spectrometry proteomics and RNAseq data, including bulk RNAseq and single cell RNAseq. Experience single cell RNAseq and/or spatial transcriptomics data analysis strongly preferred.
Please forward resumes to Srikant.Rangaraju@yale.edu
A postdoctoral associate position is available in the laboratory of Dr. Mark Lee (https://medicine.yale.edu/profile/mark_n_lee/?tab=research) at the Yale School of Medicine in New Haven, Connecticut. This position is partially funded through the Rudolph J. Anderson Endowed Postdoctoral Fellowship program.
The Lee laboratory is a human immunology/immunogenetics research group that builds and applies new functional genomic techniques to profile the human immune system using patient samples. The lab seeks to uncover therapeutic targets in immune-related diseases by bridging next-generation/single-cell sequencing with high-throughput co-culture screens. Currently, a major focus of the lab is to identify disease-relevant T cell receptors in tissue/blood samples from patients with lung cancer and with a variety of autoimmune diseases. The lab aims to solve central problems in the field such as: how to identify new shared epitopes for cancer immunotherapy; how to solve long-standing mechanisms that underlie HLA associations with autoimmune/alloimmune diseases; and how to enable precise control of adaptive immune responses through engineered cellular and recombinant therapies. Available projects relate to these efforts, although postdoctoral associates are encouraged to push beyond current efforts in the laboratory.
Qualified applicants will have a Ph.D. or M.D./Ph.D. in immunology, genetics, genomics, molecular biology, cellular biology, or a related discipline. We are particularly interested in candidates with research experience in cellular immunology, human immunology, high-throughput functional genomics, and/or computational biology. Candidates should be highly collegial, hard-working, reliable, and curious, with a strong professional track record and excellent written and oral communication skills.
Application Process:
Interested applicants should contact Dr. Mark Lee, MD, PhD (mark.n.lee@yale.edu) with the Subject line: “Postdoctoral associate position in the Lee lab”; include a copy of their CV; include a Cover Letter addressing their research background, interest in the position, and goals; and include the names of 3 references. Yale University is an equal opportunity employer and values diversity in its faculty, students, and staff.
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 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
- 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 September 1, 2023, materials should be submitted no later than August 1, 2023.
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.
Yale School of Medicine is seeking a motivated Postdoctoral Associate to join research programs in the laboratory of Madhav C Menon focused on the study of renal tubular and podocyte cell biology with specific reference to mechanisms of renal fibrosis and proteinuria, respectively. The goals of the lab are to understand fundamental biological mechanisms, develop biomarkers and novel therapeutic strategies to mitigate progressive kidney failure in native and allograft kidneys.
Our well-funded research opportunities follow a bedside-to-bench template starting from gene variants already identified in human native and allograft kidney disease, to elucidating mechanisms via invitro tools to the development and/or application of unique mouse models for in vivo pathway discovery and validation. Experience in immunological techniques, and interest in allograft rejection/failure are highly desirable. The approaches are founded on interpretation of large data sets from human genome level sequence data and/or mouse cell type specific transcriptome sequence data coupled with model organism pathophysiology and basic cellular biology.
Applicants should have a Ph.D. and/or M.D., with interest in model organisms, molecular biology, cell biology, immunology, or related fields.
All applications materials should be submitted electronically to: Brian Kelly, Staff and Academic Affairs Coordinator at brian.kelly@yale.edu. Review of applications will begin immediately and will continue until the position is filled.
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 Israelow lab (https://medicine.yale.edu/profile/benjamin_goldman-israelow/) is seeking a motivated postdoc interested in studying mucosal immunity to and mucosal vaccines for 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 cytokines in directing adaptive mucosal immune responses to respiratory viruses including SARS-CoV-2 and influenza, (3) Improving pan-coronavirus mucosal vaccines, and (4) Understanding how adaptive immunity controls respiratory virus transmission.
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.
We are looking to recruit motivated postdoc scientists to join our team.
The Lucas lab advances basic and translational immunology through discovery and mechanistic investigation of severe, human immunodeficiency and autoinflammatory disorders, often caused by single-gene defects. Starting with patients and extending to mouse models, our work aims to dive deeply into fundamental yet translationally relevant biology of adaptive and innate immune cells by combining genetic, cellular, molecular, and in-vivo approaches. We are looking for PhD-trained scientists with experience in human immunology, mouse immunology, cellular immunology, biochemistry, molecular biology, and/or computational/systems immunology experience and interests. We value a highly collaborative and inclusive team and support creative and bold approaches to advance immunology.
Interested candidates should send their CV and interests to Carrie.Lucas@yale.edu
Lab website:
https://medicine.yale.edu/profile/carrie-lucas/?tab=research
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) is new to Yale and actively recruiting for multiple positions. The lab uses approaches from genomics, molecular biology, cell biology, bioinformatics, and systems biology to understand non-genetic heterogeneity in development and cancer. We want to understand how cell systems with the same genetic material break symmetry and generate cells with markedly different behaviors from one another. Our hypothesis is that the processes that drive this behavior in normal mammalian development operate in cancer, driving tumor heterogeneity. 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 that each trainee should chase scientific questions using the best methodology available. 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) identification of molecular mechanisms driving heterogeneity in developmental or cancer contexts; 2) understanding of cellular states and non-genetic memory in cell systems; 3) construction of new diagnostic tools using connections between developmental biology and cancer.
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.
Applications are welcomed for a NIH-funded postdoctoral position, available immediately. The successful candidate will have the opportunity to lead projects broadly related to optimizing efforts to control antimicrobial-resistant (AMR) gonorrhea. This includes, but is not limited to, modeling the transmission dynamics of AMR gonorrhea within and between different population groups, optimizing the surveillance of AMR gonorrhea through adaptive sampling, and evaluating the cost-effectiveness of public health strategies to control AMR gonorrhea. The successful applicant will also have the opportunity to engage in other public health related problems including adaptive response to novel viral pathogen outbreaks and mitigating drug-resistant tuberculosis epidemics in high-burden settings.
The successful applicant will be expected to participate as lead author in publications arising from this work and to communicate findings in oral presentations at national and international conferences. Strong emphasis will be placed on career development, communication skills, grantsmanship, and interdisciplinary research.
This project is an integral element of a joint research program of investigators at Yale School of Public Health, Harvard T.H. Chan School of Public Health, and the Stanford Center for Health Policy. Our team of investigators includes decision scientists, infectious disease epidemiologists, health economists, and operations researchers.
We are seeking candidates who are willing to commit to 2 years of work on this project.
Qualifications and Skills
- Doctoral degree in Infectious Disease Modeling, Epidemiology, Operations Research, Applied Mathematics, Computational Biology, Ecology, Evolutionary Biology, Statistics, Biostatistics, Computer Science, or related quantitative disciplines.
- While not essential, previous experience with transmission dynamic models of infectious diseases of humans or animals and agent-based modeling is ideal.
- Strong background in mathematical/simulation models, statistics, probability, and numerical analysis.
- Strong programming skills.
Benefit and Compensation Information
We offer a competitive salary. Compensation will be commensurate with experience.
To apply
Please submit a cover letter along with an updated resume or CV with contact information for 3 professional references and apply online at http://apply.interfolio.com/126050.
For any additional information, please contact Associate Professor Reza Yaesoubi, Department of Health Policy and Management, Yale School of Public Health (reza.yaesoubi@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.
Yale University
School of Medicine
Department of Internal Medicine
SECTION OF NEPHROLOGY
POSTDOCTORAL RESEARCH ASSOCIATE Position
Yale School of Medicine is seeking a highly motivated Postdoctoral Research Associate interested in tissue engineering to join the laboratory of William G. Chang MD, PhD. The lab has ongoing research projects focusing on kidney tissue engineering. Candidates with experience in tissue engineering, cell/molecular biology, kidney research, or small animal surgical models are encouraged to apply. Applicants for the position should have obtained a PhD, MD, DVM in a life science, biomedical engineering, medical, surgical, or veterinary field prior to starting. The postdoctoral training will involve tissue engineering, imaging, animal model systems, and statistical analyses.
Application materials (brief statement of scientific goals and CV/resume) should be submitted electronically to Dr. Chang (w.chang@yale.edu). Review of applications will begin immediately and will continue until the position is filled.
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 Civic Thought Initiative at Yale University has one opening for a a postdoctoral fellow during the 2023-2024 academic year. The Fellow would be expected to teach three undergraduate seminar courses in the history of political thought and to help organize discussions and events for undergraduates and faculty. The Fellow would also be encouraged to join the Political Theory Workshop and become an integral member of the political theory community.
Applicants must have a PhD in political theory or a closely related field and evidence of strong teaching abilities.
Review of applications will begin immediately and occur on a rolling basis until the position is filled. Applicants are encouraged to send (1) a cover letter with a brief description of their interests in the position, (2) a resume/CV, (3) one representative manuscript/publication, and (4) contacts for two professional references by email to bryan.garsten@yale.edu.
The laboratory of Daniel DiMaio, M.D., Ph.D., in the Department of Genetics is seeking a postdoctoral researcher in molecular virology. We study tumor viruses to determine the mechanistic basis of fundamental biological processes and to develop new strategies to inhibit tumor virus infection and the cancers they cause.Because viruses are dependent on cellular machinery for all phases of their life cycle, they historically have been valuable tools to study many aspects of biology. Our lab focuses on human papillomaviruses (HPV), which cause approximately 5% of all human cancer. Our prior studies revealed a novel mechanism of growth factor receptor activation by a viral oncoprotein, provided the first example of oncogene addiction, designed artificial proteins with unprecedented chemical simplicity, described the first clear biological role of cell-penetrating peptides, and discovered that some proteins can act in a manner independent of their amino acid sequence. Our main current focus is the complex process by which HPV enters cells, which we study to discover new principles of cell biology and biochemistry. These studies many also lead to new approaches to inhibit virus infection and cancer formation. Our laboratory seeks to hire a highly motivated postdoctoral associate with expertise in virology, molecular and cellular biology, and/or biochemistry. Potential projects include structure-function analysis of HPV proteins involved in virus entry, development of a novel system to propagate infectious HPV pseudoviruses, and mechanistic studies of cellular proteins that are required for virus entry. Major experimental approaches include cell culture, virus propagation and infection, mutant construction and analysis, protein expression and purification, and imaging techniques in cultured cells.
Representative publications:
Heim, E., Marston, J., Federman, R., Edwards, A. B., E., Karabadzhak, A., Petti, L.M., Engelman, D.M., and DiMaio, D. (2015) Biologically active LIL proteins built with minimal chemical diversity. Proc. Natl Acad. Sci. USA, doi:10.1073/pnas.1514230112.
Zhang, P., Monteiro da Silva, G., Deatherage, C., Burd, C., and DiMaio, D. (2018) Cell-penetrating peptide mediates intracellular membrane passage of human papillomavirus L2 protein to trigger retrograde trafficking. Cell, 174: 1465-1476. doi10.1016/j.cell.2018.07.031.
Xie, J., Zhang, P., Crite, M., and DiMaio, D. (2021) Retromer stabilizes membrane insertion of the L2 capsid protein during retrograde HPV entry. Science Advances, doi: 10.1126/sciadv.abh4276. PMID: 34193420
Oh, C., Buckley, P., Choi, J., Herrero, A., and DiMaio, D. (2023) Sequence independent activity of a long disordered segment of the human papillomavirus L2 capsid protein during virus entry. bioRxiv 2023.03.21.533711.
The successful candidate will have a doctoral degree and publication record in biochemistry, cell or molecular biology, virology, or a related field and will receive further training on how to conceptualize, design, conduct, and interpret hypothesis-driven experiments to address important issues in biology. The candidate should be self-motivated and eager to learn new techniques and should display a high level of independence and good problem solving and interpersonal skills. Interested candidates should send an email to daniel.dimaio@yale.edu including a CV, a cover letter with a brief description of research interests and how they align with the lab, and email addresses of two or three referees.
The Vinetz Laboratory in the Section of Infectious Diseases is seeking postdoctoral candidates interested in 1) biotechnology of vaccines; and 2) studying mechanisms of leptospirosis pathogenesis in animal models. Our lab provides exceptional basic science and translational research environment, with direct connections to tropical disease endemic field sites.
Candidates with experience in molecular biology, recombinant protein expression (bacterial, insect, algae, mammalian cells), protein purification using various chromatographic methods, flow cytometry, confocal microscopy, immunology and small animal models of infectious disease pathogenesis are encouraged to apply. Ideal candidates should have a combination of skills in biotechnology, protein engineering/purification/characterization, immunology, molecular biology and genomic analysis. Excellent communication and writing skills are essential for this position.
Salary is based on research experience and on published university norms:
https://postdocs.yale.edu/policies/postdoc-compensation.
Interested applicants should send a CV, cover letter describing research interest, your reasons to apply to my lab including long-term career goals, and names/contact information for 3 references to joseph.vinetz@yale.edu. Very important is a demonstrated, published track record of success in a combination of the above skills.
Yale University is an Affirmative Action/Equal Opportunity Employer and welcomes applications from women, members of minority groups, persons with disabilities and protected veterans
Postdoctoral Position Agent-Based Model Development for Environmental and Archaeological Applications
The Yale Paleoarchaeology Laboratory seeks to fill a one-year postdoctoral position for a project entitled “Modelling the Evolution and Future of the Zambezian Biome”. The aim of the project is to develop and deploy agent-based (or generative) models to understand human-environment interactions in the Zambezian Biome of southern-central Africa over the last ~30,000 years. The position is funded through a Yale Bioscience Postdoctoral Fellowship, and will begin on 1 September 2023.
The time period under study spans the global climatic transition from the Last Glacial Maximum into the Holocene ca. 11,500 years ago, as well as the regional economic transition of humans from hunter-gatherers to food producers ca. 2,000-3,000 years ago. The goal is to understand the changing resource landscape for ancient humans across those transitions, as well as potentially the iterative environmental impacts of those same humans on available resources. Ultimately, these models will provide testable hypotheses for interpreting the archaeological and paleoenvironmental records relevant to reconstructing ancient human social organization. They will also inform development of strategies for mitigating paired human-climate impacts on environments in the region, by identifying where and under what conditions ecosystem tipping points may be anticipated.
One year of this two-year project has already been completed. Therefore, the incoming candidate will build on existing data and code structure, but the position will not be renewable for a second year. The successful candidate will publish results from this project collaboratively with the PI (Dr. Jessica Thompson), the initial model developer Dr. Benjamin Davies (Tufts University), and other contributors. They are also encouraged to use this opportunity to advance their own independent scholarly profile and will receive mentorship on research, job searches, and other related academic professional development.
The appointment will be as a Postdoctoral Associate. Compensation and benefits are outlined at the Office for Postdoctoral Affairs. The candidate must be physically present in New Haven and will receive office space in the Department of Anthropology. In addition to resources through the Yale library system, the candidate will have access to any necessary resources for the project through the Yale Center for Research Computing: https://docs.ycrc.yale.edu/.
Required Qualifications
- PhD within the last 4 years in Anthropology, Environmental Science, Ecology, Archaeology, or a related field
- Demonstrated experience with code development and application in agent-based models
- Expertise in human behavioral ecology, optimal foraging theory, and/or paleoecology
Preferred Qualifications
- Familiarity with Paleolithic archaeology
- Expertise on the ecological context of ancient Africa
Qualified candidates should email a cover letter of no more than two pages, a CV, and a list of contact details for three references to Dr. Jessica Thompson at jessica.thompson@yale.edu. Review of applications will begin on 1 June 2023 and continue until the position is filled.
Overview
The laboratory of Dr. Wei Hu at Yale University School of Medicine seeks two postdoctoral researchers.
The Hu Lab, located at the Yale University West Campus (West Haven, Connecticut), is jointly affiliated with the Department of Immunobiology and the Institute of Biomolecular Design and Discovery (IBDD), with an interdisciplinary focus on immunology and chemical biology. The lab will develop and utilize novel genetic, biochemical, and chemical biological tools to probe the biology of regulatory T cells in various physiological and pathological settings, such as infection, autoimmunity, cancer, and transplantation. We aim to dissect how Treg cells exert context-specific function at a cellular and molecular level and develop strategies to manipulate Treg cells for disease intervention. For more information, please visit the lab website: www.weihulab.org.
We are excited to invite scientists from diverse backgrounds to join our growing team. The lab’s dual affiliation enables your interaction with two highly dynamic groups of scientists at Yale, a rare opportunity to broaden the scope of your scientific knowledge and vision. As one of the founding members, you will benefit from frequent interaction with and prompt feedback from the principal investigator. You will also have more freedom to explore different directions based on your expertise and scientific interests or develop new directions that you are passionate about. We value the professional growth of our team members, and you will be encouraged to apply for fellowships and awards, attend courses and conferences, and engage in other networking and career development activities.
Responsibilities
Working in collaboration with the principal investigator and under the overarching theme of the lab, the postdoctoral researcher will:
- Conduct specific research as assigned, and develop new projects based on their own interest. This includes conceiving the project, designing the research strategy, conducting the experiments, analyzing and interpreting the data, presenting the progress in lab meetings and departmental seminars, and preparing manuscripts for publication.
- Assist and advise other lab members with his/her technical and scientific expertise.
- Assist the PI in laboratory management and developing proposals for funding.
Requirements
- Ph.D. in Biomedical Sciences, Chemistry, or related field at the time of hiring. A strong background in immunology, functional genomics, chemical biology, or mouse genetics is highly desirable.
- Passionate about scientific discovery; capable of working independently and willing to collaborate with team members.
Salary and Benefits:
The salary follows the compensation guidelines for postdoctoral researchers at Yale University. The University also provides health plans, paid leave, parenting leave, and other benefits. For more information, please see below.
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 the contact information of 2-3 references. The application may also send the application materials to wei.hu.wh477@yale.edu. The review of applications will begin immediately, and interviews will be scheduled for highly rated candidates. The hiring will continue until the positions are filled.
The Higgins-Chen Lab at Yale University invites applications for up to 2 postdoctoral associate positions in the biology of aging, supported by multiple NIH grants. The lab is focused on using machine learning approaches to identify omics-based biomarkers to estimate the biological age of individuals, then adapt the biomarkers for use in clinical trials of geroscience-based interventions to prevent or treat age-related diseases. The lab also studies the interaction between aging and mental health. Lab members primarily perform computational analysis, collaborating with clinicians, experimental biologists, epidemiologists, social scientists, and industry to train and validate biomarkers.
Postdoctoral associates may work on one or more projects and are encouraged to incorporate their other research interests into the work. They may work collaboratively with one or more current lab members for these projects. Projects we are currently hiring for include:
- Molecular signatures of Alzheimer’s resilience: Work with a unique multi-omics multi-region brain dataset for Alzheimer’s disease, highly enriched in individuals with ApoE E4 alleles yet are resilient to cognitive decline. All somatic mutation, DNA methylation, and proteomics data from 3 brain regions are already collected, along with detailed phenotypic data. A postdoctoral associate would work to identify molecular signatures of resilience using individual data types and perform multi-omic integration.
- Epigenetic clocks to link aging hallmarks, interventions, and outcomes: Epigenetic clocks based on DNA methylation are commonly used aging biomarkers in epidemiological studies. However, there is little mechanistic understanding of how they relate to molecular hallmarks of aging, risk for age-related disease, and response to aging interventions, limiting their potential use in clinical trials. With collaborators, we are collecting data from humans, human cell culture, and mouse models concerning DNA methylation relationships with aging hallmarks, interventions, and outcomes. A postdoctoral associate would work to integrate this data and test new computational approaches to develop mechanistically informed epigenetic aging clocks.
- Computational solutions for adapting aging biomarkers to longitudinal studies and clinical trials: Aging biomarkers are needed to longitudinally monitor an individual’s aging process and their response to interventions. However, current aging biomarkers are mostly trained and validated using cross-sectional measurements, and they also can be affected by a variety of confounders that make it unclear whether changes in biomarkers can be truly attributed to a modification of aging. A postdoctoral associate would work with longitudinal biomarker data from large aging cohorts and other datasets to develop computational methods for utilizing longitudinal data in training and validation of aging biomarkers, and methods for detecting and correcting for confounders.
Another major focus of the lab is investigating how mental health influences the aging process and identifying ways to improve the long-term health of individuals with psychiatric disorders. Postdoctoral associates are welcome to contribute to these projects.
Qualifications:
- Excellent collaboration skills and ability to contribute to a positive, supportive, and collegial lab environment
- A PhD, MD, or MD/PhD and experience in geroscience, cellular and molecular biology, computational biology, bioinformatics, or a related field.
- Strong computational skills, including experience with programming languages such as R or Python, and supervised and unsupervised machine learning methods
- Motivated and self-directed to complete research projects and learn new skills needed for that research
Preferred Qualifications:
- Experience and domain knowledge relevant to one or more projects listed above (Alzheimer’s Disease, mouse or cell culture aging studies, epidemiology of aging, etc)
- Expertise in computational methods relevant to one or more projects listed above (proteomics analysis, multi-omics data integration, advanced longitudinal modeling, etc.)
Application Process:
Appointments are initially for 1-2 years, are renewable, and have flexible start dates. The positions are available immediately and will be reviewed on a rolling basis. Qualified applicants may be contacted to schedule an interview.
Interested candidates should submit the following application materials:
- A 1-page cover letter describing your research interests, career goals, and how your expertise may contribute to one of the above projects (please focus your letter on one project – we may discuss other projects during the interview).
- A detailed CV or Biosketch
- Contact information for three professional references who can provide letters of recommendation or discussions by phone upon request.
Send materials as a single PDF file to:
Albert Higgins-Chen, MD, PhD
Department of Psychiatry, Department of Pathology
Yale University
If you are you fascinated by emerging and re-emerging viruses that are a threat to global health, and you also interested in better understanding the mechanisms of viral pathobiology and the host defense against these viruses, we are looking for highly enthusiastic and motivated individuals to join our team! The Martinez lab is seeking a postdoctoral candidate interested in joining us at Yale Immunobiology to investigate mechanisms of viral pathogenesis and humoral mechanisms of protective immunity against emerging viruses.
The Laboratory of Viral Pathobiology and Immunity (Martinez lab) in the department of Immunobiology at the Yale School of Medicine studies fundamental mechanisms viral pathobiology and host immunity to alphaviruses (Chikungunya virus), coronaviruses (SARS-CoV-2, bat zoonotic SARS-related viruses, and MERS-CoV), and flaviviruses (Dengue virus, West Nile virus, and Zika virus). The Martinez lab is focused on characterizing fundamental mechanisms of protective immunity both on the host side, using human and mouse models, and on the pathogen side, utilizing viral reverse genetics and tissue culture models. Candidates will be expected to work in a biosafety level 2 (BSL2), enhanced animal biosafety level 2 (ABSL2+), and depending on their project also biosafety level 3 (BSL3) and ABSL3 laboratory.
Qualifications and requirements
- Recent PhD, or MD
- Experience with mouse handling
- Previous experience in immunology, microbiology, and virology are preferred though not required
- Ability to communicate clearly and efficiently
- Ability to effectively work as a part of team
- Experience in molecular biology and cell and tissue culture
Successful candidates should be excellent communicators and will be encouraged to achieve independence. Successful candidates will be encouraged to pursue independent ideas that overall fit the Martinez lab vision on viral pathogenesis and host immunity.
Successful candidates will become part of the Immunobiology department, which is a dynamic, vibrant, and energetic community. The department of immunobiology at Yale School of Medicine is considered as one of the best immunology departments in the world. Successful candidates will primarily work in 300 George and will work closely with Martinez laboratory members.
Qualified candidates should email their cover letter and CV to Dr. David Martinez at david.martinez@yale.edu
Postdoctoral position in discrete-choice analysis of non-pharmaceutical interventions during pandemics
Job Description
Applications are welcomed for a NIH-funded postdoctoral position under the direction of Dr. Reza Yaesoubi (Yale School of Public Health, Department of Health Policy and Management) and Dr. Janel Hanmer (University of Pittsburgh Medical Center, Center for Research on Health Care). The successful candidate will have the opportunity to lead projects related to the discrete-choice analysis of non-pharmaceutical intervention to control pandemics and the development of decision models to inform the optimal use of these interventions during pandemics.
The successful applicant will be expected to participate as lead author in publications arising from this work and to communicate findings in oral presentations at national and international conferences. Strong emphasis will be placed on career development, communication skills, grantsmanship, and interdisciplinary research.
Qualifications and Skills
- Doctoral degree in decision sciences, economics, health economics, public policy, or other relevant fields.
- Previous experience in discrete-choice/conjoint analysis.
- Strong background in statistics.
- While not essential, working knowledge of decision modeling and cost-effectiveness analysis, is ideal.
Benefit and Compensation Information
We offer a competitive salary. Compensation will be commensurate with experience.
To apply:
Please apply online: http://apply.interfolio.com/124814
Candidates should submit a cover letter along with an updated resume or CV and contact information for 3 professional references.
For any additional information, please contact Associate Professor Reza Yaesoubi, Department of Health Policy and Management, Yale School of Public Health (reza.yaesoubi@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 Association Position in the Yale Collaboration for Research Integrity and Transparency (CRIT): Division of General Internal Medicine, Yale School of Medicine
Location: New Haven, CT
Description: A full-time Postdoctoral Association position is available as part of the Yale Collaboration for Research Integrity and Transparency (CRIT) within the Department of Internal Medicine, Section of General Internal Medicine at Yale School of Medicine. The candidate will be mentored by Drs. Joseph S. Ross and Reshma Ramachandran.
Position Details: Successful candidates will have the opportunity to gain experience from Drs. Ross and Ramachandran who direct Yale CRIT as well as collaborators across campus at the Yale School of Medicine, School of Public Health, and School of Law as well as academics at other institutions on projects at the intersection of regulatory science, epidemiology, health economics, and health policy. The position will focus on the evaluation of FDA regulation of health technologies on patient outcomes and payer decisions as well as spending.
As part of Yale CRIT, candidates will also have an opportunity to receive training in the translation and dissemination of research findings into actionable policy recommendations to various audiences including policymakers, collaborating organizations, and the public. Successful candidates will also be expected to lead 1-2 research projects that will be published in high-impact medical journals. For examples of prior CRIT projects, please see: https://law.yale.edu/centers-workshops/collaboration-research-integrity-and-transparency-crit/our-work
Qualifications
Minimum qualifications:
1. PhD/ScD/MD or equivalent degree and years of experience in epidemiology, econometrics (particularly around cost-effectiveness analyses), and pharmaceutical or medical device policy
2. Strong background in epidemiological/statistical methods, including coursework and research experience in causal inference and evidence synthesis.
3. Programming experience using large datasets (e.g., R, SAS, STATA).
4. Strong written and oral communication skills.
5. Experience in translation and dissemination of research findings to broader audiences is preferred, but not required.
Salary will be based on the NIH postdoctoral research salary scale. The position is for one year, with possible renewal at the second year depending on funding and performance.
Application Instructions
To apply, please submit a CV, cover letter of up to two pages, and contact information for three references (name with position title, phone, and email address). In your cover letter, please summarize your relevant research experience.
Applications and questions regarding the position should be directed to Dr. Reshma Ramachandran [reshma.ramachandran@yale.edu]. Applications will be accepted until the position is filled.
The Yale Department of Pediatrics is seeking a post-doctoral associate to pursue clinical research in sickle cell disease (SCD) and pain under the mentorship of Dr. Nitya Bakshi, incoming Associate Professor of Pediatrics and Director of the Pediatric SCD Program at Yale University. The research laboratory is focused on the study of chronic pain in SCD and is funded by federal (NIH) and foundation awards. Work from the lab includes studying chronic pain phenotypes and their outcomes in SCD using survey instruments, EMA methods, as well as quantitative sensory testing approaches. The lab is also studying pain in the context of curative hematopoietic cell transplant, and treatment interventions for chronic SCD pain. The lab also has significant expertise in qualitative methods, and their application to study pain and therapeutic decision making in SCD. The candidate will be under the mentorship and supervision of Dr. Bakshi and will have the opportunity to collaborate with several national leaders in the field, including some in the Division of Pediatric Hematology-Oncology at Yale University.
The post-doctoral associate’s responsibilities will include management of lab research projects, fulfilling regulatory requirements, data management, analyses, and interpretation of data, and supervision of students. It is anticipated that the candidate will also recruit people with SCD for clinical studies and clinical trials in SCD. The candidate will have an opportunity for authorship and co-authorship of manuscripts and assist with grant writing. This position will enhance the candidate’s skillset in SCD observational and clinical trials design and data analyses, EMA methodology, and qualitative research methods in SCD. The candidate will be expected to develop and individual career development plan, and there will be some flexibility to tailor the position to the candidate’s specific interests. The candidate’s career development will also be supported to attend national conferences.
The position will start on October 1, 2023, but the start date may be negotiable. The duration of the position will be for 2-3 years and may be extended if desired and contingent on the availability of funding. A 1-year term may be considered on a case-by-case basis.
Candidates must have a doctoral degree, i.e., PhD, MD, or MBBS (or equivalent). If interested, please email a cover letter detailing their interest in the position, CV, a writing sample (prior publication, thesis, or similar), and names of 3 references to: nityabakshi@gmail.com
Postdoctoral Position in Yale Comprehensive Epilepsy Center at Yale School of Medicine
The Yale Comprehensive Epilepsy Center in the Department of Neurology at the Yale School of Medicine has an opening for a Postdoctoral Associate interested in gaining clinical research experience in epilepsy and status epilepticus clinical trials.
IDEAL CANDIDATE:
- Recent MD, Ph.D., or equivalent.
- Background in research experience is strongly preferred but not required. Mentoring and courses are provided as needed for principles of experimental design, problem-solving, writing, and data analysis.
- Prior experience in a medical setting is preferred.
- Excellent writing skills and verbal communication skills are mandatory.
- Experience with database software is preferred, especially REDCap.
- Prior experience in a clinical setting is preferred. Ability to multitask clinical trial coordination (setup to fulfillment), liaising between academic entities and pharmaceutical companies, medical writing, governmental and regulatory affairs, event organization, project management, coordination of intricate international teams, multicultural integration, and project execution.
The selected candidate will be the primary study coordinator for the NORSE study (New Onset Refractory Status Epilepticus), The NORSE/ FIRES Biorepository, and participate in other projects. There are ample opportunities for attending daily educational conferences in the Department of Neurology and the epilepsy center and for shadowing attending physicians in the clinic and on hospital rounds.
The position is initially for a period of 1 year, with a scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled.
Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. Yale Comprehensive Epilepsy Center in the Department of Neurology at the Yale School of Medicine is highly active and involves interdisciplinary collaborations across multiple academic units, including the Departments of Neuroscience, Psychology, Psychiatry, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology and more. The Wu Tsai Institute, Kavli Institute for Neuroscience, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog.
Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, persons with disabilities, protected veterans, and individuals from underrepresented minority groups are strongly encouraged to apply.
Interested candidates should e-mail their applications to lawrence.hirsch@yale.edu, or Margaret.gopaul@yale.edu.The application should include: (1) CV; (2) a one-page description of research interests; (3) contact information for 3 referees.