Yale Postdoctoral Positions

Postdoctoral Associate Position, School of Public Health and Department of Biostatistics

New Haven, Connecticut

We are actively recruiting a postdoctoral associate to join the Public Health Data Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics.

The postdoctoral associate will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of  Statistics and Data Science, with a focus on analysis of electronic health records and real world healthcare data and global health. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. The position is for one year, and is renewable for a second year based on satisfactory performance and progress.

The postdoctoral associate will actively participate in methodological and collaborative research and support writing research grants. Professional development will be an integral part of the position. This position offers postdocs the opportunity to develop expertise in analyzing complex non-probability observational samples and get involved in exciting applications harnessing data from multiple different biobanks. The position will also provide a solid foundation to build a research career in academia, government, or industry.

Qualifications:

• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field by August 1, 2024
• Strong oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting
• Proficiency with statistical computing (e.g., R, Python or C/C++)
• Demonstrated capacity to work both collaboratively and independently
• Strong strategic, analytical, and problem-solving skills
• Strong interpersonal and project management skills to facilitate timely and professional deliverables
• Experience with causal inference, machine learning, and artificial intelligence is desirable

Organization: Yale School of Public Health
Department: Biostatistics

Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week

Work Modality: Flexible, hybrid working arrangements could be accommodated if needed
Expected Start Date: September 1, 2024

To apply:

Interested individuals should submit a (1) CV, (2) cover letter that addresses their specific interest in this position, skills and experiences directly related to this position, and highlight overall research interests and plan, and (3) contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.

Please apply online:  http://apply.interfolio.com/144336

Questions regarding this position should be directed to ysphfacultyaffairs@yale.edu.

Additional information on the Yale School of Public Health, the Department of Biostatistics and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:

About Us | Yale School Of Public Health

Biostatistics | Yale School of Public Health

Chronic Disease Epidemiology Department | Yale School of Public Health

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

Postdoctoral Associate - Cancer Survivorship and Tobacco Prevention and Cessation Among Survivors

Posting Date: April 4, 2024

A full-time Postdoctoral Associate position is available within the Yale School of Nursing to assist with the project implementation and closely work with Dr. Hermine Poghosyan.  This is a one-year position with a potential to extend for another year and with a start date; July 1^st, 2024. 

We are seeking a highly motivated and creative Postdoctoral Associate with a strong research background to participate as a professional team member and contribute to ongoing research projects in cancer health disparities, tobacco control and cessation. We are seeking scholars with research interests in cancer health disparities, cancer survivorship, lung cancer screening, and tobacco prevention and cessation among cancer survivors.  In this position, the scholar will be encouraged to conduct mentored and independent research with an emphasis on study inception, manuscript writing, and applying for grants and will also have opportunities to further develop their skills as an independent researcher under the mentorship of Dr. Poghosyan.

Responsibilities include:

• Assisting the research team in handling data produced from quantitative and qualitative approaches
• Creating analytic databases
• Developing analytical models under the guidance of the Investigators and the Biostatistician
• Providing support with literature reviews, data analysis, and dissemination of study findings through publications and presentations
• Leading and collaborating on peer-reviewed manuscript publications
• Maintaining IRB compliance and updating IRB protocols as necessary, and
• Performing other duties as assigned. 
• Collaborating proficiently and communicating effectively with colleagues and management teams
• Being able to design and perform hands on experiments and maintain detailed documentation

Qualifications:

• Must have a PhD in a field applicable to cancer research and associated experience in a health-related area such as public health, nursing, psychology, health policy, social or behavioral sciences, or another relevant field. 
• All requirements of the doctoral degree must be completed before the position start date. 
• Recent PhD graduates and candidates with prior postdoctoral experience are both appropriate.
• Primary research interests should be in the areas of cancer health disparities; cancer survivorship; lung cancer screening behavior; tobacco prevention and cessation among cancer survivors.
• Have a high level of pre-doctoral publication activity
• Have excellent analytic and writing skills and demonstrated potential of scholarly research including content-relevant peer-reviewed publications.
• Knowledge of using statistical software, Stata.
• Be able to interpret statistical output and work independently as well as collaboratively

Preferred Education, Experience and Skills: 

• A PhD in Nursing is preferred.
• Strong data analytical skills.
• Experience using and analyzing population-based data.
• Excellent past academic performance evidenced with publications.

Compensation

• Information about salary, benefits, and career development opportunities can be found at https://postdocs.yale.edu/postdocs.

To apply: Please submit a CV, letter of research interests, 3-5 reprints/preprints of publications, and the names and contact information of three individual references to: Dr. Hermine Poghosyan (Hermine.Poghosyan@yale.edu) AND Cindy DeCoste, Research Project Coordinator (Cindy.DeCoste@yale.edu)

Yale University is an Affirmative Action/Equal Opportunity Employer and values diversity among its students, faculty, and staff.  We welcome applications from women, persons with disabilities, underrepresented minority groups, and protected veterans.

Postdoctoral Associate – Yale Imaging and Psychopharmacology Lab

The Yale Imaging and Psychopharmacology (YIP) Lab at Yale University School of Medicine (PI: Dr. Sarah Yip) is seeking a Postdoctoral Research Associate for a 2-3 year appointment working at the interface between neuroimaging, computational psychiatry and predictive analytics. Appointments are available to start in June 2024 or sooner.

The postdoctoral associate will join a diverse, interdisciplinary team committed to understanding brain-behavior relationships using data from both large-scale data initiatives (e.g., ABCD, UKB) and from curated clinical cohorts (e.g., densely sampled longitudinal fMRI data acquired during treatment for substance use disorders). In addition to developing their own research program, the successful candidate will contribute to multiple NIH funded awards. Our lab is primarily located within Psychiatry and collaborates closely with colleagues in Yale’s Child Study and Magnetic Resonance Research Centers. Thus, there are multiple opportunities for translational research.

Qualifications: PhD, MD or MD/PhD in neuroscience, neuroimaging, statistics, psychology, engineering or a related field is required. Previous experience working with neuroimaging and/or computational modeling is required. Fluency in Python, R or similar strongly preferred.

Compensation: The minimum starting salary for this position is $65,000 and fellows will be provided additional funding for discretionary research expenses, including travel.

Yale School of Medicine has an outstanding track record of mentoring national and international postdoctoral scholars from a wide variety of research and clinical backgrounds. Prior fellows in the Yale Imaging and Psychopharmacology Lab have all gone on to either competitive faculty or industry positions upon completion of their postdoc.

The Yale Imaging and Psychopharmacology Lab is committed to cultivating an inclusive and collaborative multidisciplinary environment. We encourage applications from scholars committed to our mission to build a thriving, collaborative, diverse, and inclusive research community.

To apply: Please e-mail a brief letter of interest describing your current experience, skills, and how your future goals align with this position, along with an up-to-date CV and contact information for three references directly to sarah.yip@yale.edu. Please also feel free to direct informal inquiries about this position to sarah.yip@yale.edu.

POSTDOCTORAL ASSOCIATE

The Yale Center for Emotional Intelligence (https://www.ycei.org), part of the Child Study Center at the Yale School of Medicine, conducts research and teaches people of all ages how to develop their emotional intelligence. Our work focuses on (1) the development of social and emotional skills among diverse populations in education settings and organizations, and (2) the mechanisms by which social and emotional skills and training impact significant life outcomes.

We are seeking a highly motivated, full-time Postdoctoral Associate to join the interdisciplinary research team at the Yale Center for Emotional Intelligence to support the Mirror to the World program of research funded by the Templeton Religion Trust. The primary object of the project is to investigate emotional and cognitive effects of engagement with art. The Postdoctoral Associate’s primary responsibility will be to lead data collection, analyses, and writing research articles for publication in academic journals. Results will directly inform and impact how the arts can be used to promote creativity and emotion skills.

KEY RESPONSIBILITIES

1. Oversee, conduct, and assist with quantitative and qualitative data collection and analyses, including data management, cleaning and reporting.
2. Lead or participate in the design of future studies, literature reviews, development of research protocols, and working with other team members to collect and analyze data.
3. Interpret and communicate results effectively in various formats.
4. Prepare and publish manuscripts in peer-reviewed journals and present research findings at conferences in areas relevant to the study, possibly in collaboration with other YCEI members.
5. Collaborate efficiently and effectively with other researchers.

The Postdoctoral Associate will benefit from mentorship on academic advancement and participate in multiple professional development trainings and opportunities (e.g., developing public speaking skills, attending YCSC postdoc seminar series, presenting research from the project at conferences). The Postdoctoral Associate will have flexibility to develop their specific research focus within the context of the project team’s expertise and the needs of the larger project.

The Postdoctoral Associate position is a full-time appointment for one year, with full benefits, and with the possibility of renewal for two more years, dependent upon performance and availability of funding. Information on benefits for postdoctoral appointments can be found at https://postdocs.yale.edu/applicants/yale-benefit-summary.  This is not a remote opportunity. This position is located at the Child Study Center on the campus of Yale University in New Haven, CT. In accordance with the university’s postdoc office policy, all trainees are expected to complete their training on campus.  

SKILLS & QUALIFICATIONS

The ideal candidate will have or demonstrate the following:

• Ph.D. in a relevant field or discipline such as psychology, sociology, or education
• Specialization or research experience in the study of psychology of art, and/or relevant area
• Competence in quantitative research methods
• Strong analytical skills and use of statistical packages and analyses (e.g., SPSS, R)
• Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
• Strong track record of publications and research outputs commensurate with career stage
• Excellent writing skills demonstrated in academic publications
• Exceptional project management and organizational skills, including effective time management
• Ability to work both independently with minimal supervision and collaboratively
• Ability to interact and communicate effectively (e.g., through writing, presentations) with different audiences (research community, general public)

TO APPLY

Qualified candidates should email Whitney Sanders at yceiresearch@yale.edu with the subject line “Postdoc Applicant, TRT: [YOUR NAME]”. Please include the following application materials:

• (1) Current Curriculum Vitae (CV)
• (2) Cover letter describing your research background, key research accomplishments, interests, career goals, and motivation for the position (2 pages maximum)
• (3) An example publication that demonstrates your skills
• (4) Contact information for 3 references

To apply, please submit the above materials by April 30th, 2024.

For questions about the position, email Zorana Ivcevic Pringle (Zorana.ivcevic@yale.edu).

Anticipated start date is September 1, 2024.

Eligibility Requirements

To be eligible for a postdoctoral appointment, candidates must hold a Ph.D., or equivalent degree from a program in relevant field or discipline. When a candidate has completed all the requirements for a degree, but the degree has not yet been formally conferred, the candidate may present evidence of completion of the degree, together with a statement of the date on which the degree is to be conferred.

ABOUT THE YALE CENTER FOR EMOTIONAL INTELLIGENCE

Emotions drive learning, decision making, creativity, relationships, and health. The Yale Center for Emotional Intelligence uses the power of emotions to create a healthier, and more innovative, productive, and compassionate society. We conduct research and design educational approaches that support people of all ages in developing emotional intelligence and the skills to thrive and contribute to society. Schools are at the center of these efforts. RULER, the Center’s signature program, draws on leading pedagogical practices as well as advances in psychology and neuroscience, and it has been honed through years of collaboration, classroom observation, interviews, and the most demanding evaluations. Creating awareness—both of self and others—about emotions and developing the skills of emotional intelligence can improve children’s prospects in life and contribute, in turn, to healthier, more compassionate families, workplaces, and communities. RULER does this by teaching adults and children the skills of emotional intelligence. Since 2005, more than 5,000 schools across 27 countries have implemented RULER, affecting the lives of over 4 million students. Accordingly, we integrate emotional intelligence skill building, the basis of RULER, into their everyday practices and into classroom curricula across grade levels. The Yale Center for Emotional Intelligence is a self-supporting unit within the Child Study Center. The Yale Child Study Center serves as the Department of Child Psychiatry for the Yale School of Medicine. The Child Study Center, and more broadly, the Yale School of Medicine is a vibrant and exciting training environment for young researchers with extensive opportunities for networking and career development: https://postdocs.yale.edu/.  

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

The university strongly encourages all students, faculty, staff, postdoctoral/postgraduate trainees, and visitors to receive all COVID-19 vaccinations that are recommended by the Centers for Disease Control and Prevention and for which they are eligible. For additional information, please visit https://covid19.yale.edu/.

Postdoctoral Researcher Position in the Hu lab, Yale University School of Medicine

Overview

Dr. Wei Hu’s laboratory at Yale University School of Medicine is recruiting a postdoctoral researcher to join their interdisciplinary team. The Hu Lab is jointly affiliated with the Department of Immunobiology and the Institute of Biomolecular Design and Discovery (IBDD), working at the interface between immunology and chemical biology. The lab utilizes cutting-edge genetic, biochemical, and chemical tools to explore the biology of regulatory T (Treg) cells across various physiological and pathological contexts, including autoimmunity, cancer, and maternal-fetal immunity. The overarching goal is to unravel the context-specific functions of Treg cells at the cellular and molecular levels and develop strategies to manipulate Treg cells for disease intervention. For detailed information, please visit our lab website: www.weihulab.org.

We welcome scientists from diverse backgrounds to join our growing team. The unique dual affiliation with the Department of Immunobiology and IBDD provides an exceptional opportunity for interaction with two vibrant scientific communities at Yale, enabling you to expand your scientific knowledge and vision. You will benefit from regular interaction and prompt feedback from the principal investigator, as well as the flexibility to explore different research directions based on your expertise and interests. Our commitment to the professional growth of team members includes encouraging applications for fellowships and awards, participation in courses and conferences, and engagement in networking and career development activities.

Responsibilities

In collaboration with the principal investigator and aligned with the lab’s overarching theme, the postdoctoral researcher will:

1. Conduct specific research assignments and develop new projects based on personal interests. This involves conceiving projects, designing research strategies, conducting experiments, analyzing and interpreting data, presenting progress in lab meetings and departmental seminars, and preparing manuscripts for publication.
2. Provide technical and scientific expertise to assist and advise other lab members.
3. Assist the PI in laboratory management and contribute to the development of funding proposals.

Requirements

1. Hold a Ph.D. in Biomedical Sciences, Chemistry, or a related field at the time of hiring. A strong background in reproductive biology, functional genomics, chemical biology, or mouse genetics is highly desirable.
2. Demonstrate a passion for scientific discovery, possess the ability to work independently, and be willing to collaborate with team members.

Salary and Benefits

The salary aligns with the compensation guidelines for postdoctoral researchers at Yale University. The University provides health plans, paid leave, parenting leave, and additional benefits. For more details, please refer to the following links:

Compensation: https://postdocs.yale.edu/policies/compensation

Benefits: https://postdocs.yale.edu/applicants/yale-benefit-summary

How to Apply

Please submit a cover letter, curriculum vitae, and contact information for 2-3 references to wei.hu.wh447@yale.edu. The review of applications will commence immediately, with interviews scheduled for highly rated candidates. The hiring process will continue until the positions are filled.

Postdoctoral Positions in Mucosal Immunity and Intestinal Inflammation (Dr. Clara Abraham)

Investigator: Clara Abraham, MD

Mucosal Immunity and Intestinal Inflammation

Yale University, New Haven, CT

POSTDOCTORAL POSITIONS are available for research on mucosal immunity, intestinal immune homeostasis/intestinal inflammation, and innate immunity. 

The laboratory focuses on understanding mechanisms regulating innate immune responses, host pathogen interactions, and immunological pathways regulating mucosal immunity and inflammatory bowel disease (IBD). The current position will involve examination of molecular, cellular and biochemical mechanisms regulating innate cells and pattern recognition pathways, in particular in the context of genes implicated in IBD.  The ability to incorporate computation approaches to biological questions is also beneficial.  Studies incorporate approaches in both primary human immune cells and in vivo mouse intestinal model systems. 

Education and experience:  Candidates must have a PhD or equivalent degree with a strong background in cellular and molecular immunology, biochemistry, and molecular biology.  Experience in examination of intestinal tissues, multiparameter flow cytometry, and bioinformatics/computational biology is desired. 

Please send curriculum vitae, three names of reference and a one-page summary of research background and interests to Clara Abraham, M.D. (Clara.Abraham@yale.edu)

Yale University is an Affirmative Action/Equal Opportunity Employer.

Postdoctoral Associate Position in Pediatric Health Services and Implementation Research

We are recruiting full-time postdoctoral candidates to join our NIH-funded research team focused on preventing chronic disease, reducing health inequities, and improving the healthcare delivery for children affected by obesity.

Primary responsibilities will be focused on supporting the summative evaluation of two NIH R01-funded multi-site clinical trials using mixed methods including analyses of quantitative (survey and EHR data) and qualitative data and assisting with related dissemination (manuscripts and conference presentation), with opportunities to propose and develop ancillary studies of interest to the candidate.

Training, Mentorship, and Career Development

This position offers the post-doctoral associate the opportunity to gain hands-on experience in pragmatic clinical trial evaluation, applied implementation science methodologies, mixed methods research, and collaboration with multi-disciplinary, multi-site teams.

The post-doctoral associate will work with Principal Investigator Mona Sharifi, MD, MPH and her team of co-investigators and collaborators with expertise in implementation science, health services research, clinical informatics, biostatistics, childhood obesity, primary care research, and stigma and bias in care.

The position offers a supportive environment for professional growth, including mentorship, opportunities to participate in national conferences, and guidance in grant writing. Additionally, the position will include opportunities to actively engage with the broader Yale community, attending seminars and events as appropriate.

Skills and Qualifications

• Doctoral degree in a social sciences or health sciences field, completed before postdoctoral start date (flexible, but ideally early summer 2024)
• Excellent communication, analytical and problem-solving skills
• Knowledge of qualitative research methodologies and protocols
• Demonstrated experience with quantitative data analysis methodologies and fluency with at least one statistical analysis language (e.g., SAS or R)

• Capable of working both independently and collaboratively

• Strong interpersonal skills and ability to work well in teams
• Preferred: Knowledge of health services research as well as dissemination and implementation science. Spanish proficiency. Experience working with large datasets. Prior coursework in longitudinal data methods, clinical trials and causal inference are preferred.

To Apply:

Interested applicants should submit the following materials via e-mail to Emily Finn (e.finn@yale.edu):

• A short letter of interest outlining your suitability for the position
• Curriculum Vitae or Resume
• A first-authored writing sample
• 3 names of references

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.

Reviews of applications will begin immediately.

Questions regarding this position should be directed to Emily Finn (e.finn@yale.edu):

Postdoctoral position in lipid biology and mass spectrometry in the Zhao Lab at Yale University

We are seeking a postdoctoral fellow to join the laboratory of Dr. Xiaoai Zhao in the Department of Comparative Medicine at Yale University. Zhao lab’s main focus is on the funtional investigation of complex lipids in the context of aging and diseases. Questions that the Zhao lab are interested in include: how do membrane lipids affect cellular function and organismal health during aging and age-related pathologies, what are the organelle-specific lipid contribution in biological processes, and what is the role of complex lipid species in systems metabolism. We use a combination of molecular biology, biochemistry and mass spectrometry in cell and animal models to address these questions. For more information, please visit www.zhaolabyale.com. Interested applicants please send a brief statement of interest and curriculum vitae with contact information for three references to the PI at xiaoai.zhao@yale.edu.

Qualifications:

The successful candidate is expected to develop and apply innovative untargeted lipidomic studies using liquid chromatography mass spectrometry (LS-MS/MS) approaches on a latest Orbitrap MS platform from Thermo. The successful candidate will have completed or will soon complete their Ph.D. degree and should have extensive experience in maintaining and troubleshooting high-resolution MS instruments, particularly orbitrap mass spectrometers. However, substantial prior experiences with other mass spectrometers will also be considered. Hands-on experience in sample preparation and data analysis is preferred. Candidates must have excellent verbal and written communication skills, a strong track record of publications, and the ability to thrive in a dynamic environment with a commitment to excellence.

Opportunities and Benefits:

The candidate will lead research project on the new frontier of functional lipid research in the context of aging and systems metabolism. The Zhao lab is also part of a diverse and vibrant scientific community in the Department of Comparative Medicine and Yale Center for Molecular and Systems Metabolism. This position offers unique opportunity to interact with and learn from labs with broad expertise in metabolism, aging and immunology research. The candidate will also play a pivotal role in the development and shaping of the new Zhao Lab with opportunities to mentor graduate and undergraduate students.

Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs.

Join the VACS team!

The Veterans Aging Cohort Study (VACS) team is seeking a Postdoctoral Associate in Pharmacoepidemiology who will be responsible for conducting NIH- and FDA-funded mentored research, focusing primarily, but not exclusively, on deriving real-world evidence on the safety of prescription stimulants among patients with attention deficit hyperactivity disorder (ADHD), and effectiveness of repurposed medications to treat alcohol use disorder in people with and without HIV. More details on the aims and objectives of these grants found below.

The Postdoctoral Associate will join a multi-site, multidisciplinary research team, and be mentored primarily by Dr Christopher Rentsch, PhD, with the opportunity to collaborate with the wider VACS team and external partners through its infrastructure of Cores and Workgroups to acquire experience and knowledge outside of their primarily responsibilities.

The Postdoctoral Associate will be encouraged to articulate research questions of clinical, population health, and mechanistic importance, design research projects, develop detailed analytic plans, perform analyses, interpret results, effectively communicate results orally and in writing, lead and submit results for peer-reviewed publication, and disseminate findings at national and international conferences. 

The ideal candidate will be self-motivated and collaborative, have strong epidemiological skills with some experience using complex, large-scale data (e.g., electronic health records) and a passion for deriving high-quality real-world evidence on medication safety/effectiveness, ideally in the field of addiction.

Responsibilities

• Lead and assist in designing, conducting, and interpreting epidemiological and pharmacoepidemiological research
• Extract and clean very large sources of electronic health records and other routinely-collected data
• Lead and assist with the preparation of abstracts and presentations at national and international scientific meetings and manuscripts for publication, including as lead author 
• Manage elements of larger grants, ensuring compliance with good practice in relation to the conduct of research, and institutional ethics policies
• Undertake high quality research and scholarship, including contributing to drafting major grant proposals and/or leading on drafting smaller grant proposals
• Other duties and responsibilities as assigned or directed by the supervisors, including, but not limited to, travel and attendance of and participation in training and data access activities required for this role

Required Knowledge, Skills and Abilities

• Experience of performing epidemiological or statistical analyses
• Experience extracting and/or analyzing large-scale health datasets, including those derived from electronic health records or other routinely-collected data
• Previous contributions to written output, preferably peer-reviewed
• Proven ability to work independently, as well as collaboratively as part of a research team, and proven ability to meet research deadlines
• Evidence of excellent interpersonal skills, including the ability to communicate effectively both orally and in writing
• Evidence of good organizational skills, including effective time management
• Proficiency in SAS, SQL, or other programming languages

Preferred Knowledge, Skills, and Abilities

• 1-2 years prior post-doctoral experience are preferred but not required
• Some experience of contributing to research grant applications
• Some experience using propensity score approaches, including propensity score matching and/or inverse probability of treatment weighting
• Some knowledge of addiction treatment
• A strong interest and willingness to learn these preferred skills will be reviewed favorably 

This position is jointly funded by NIH and FDA grants and available for a full time (100% FTE) one-year appointment with the possibility of extension upon mutual agreement and availability of funds. Candidates interested in this opportunity are invited to email Dr Christopher Rentsch (christopher.rentsch@yale.edu) with questions, or to apply, with a single PDF including:

1. Cover letter of up to 2 pages detailing previous research experience, interests, and career goals
2. Names and contact information of 2-3 academic references
3. CV

About the projects

FDA funding

The overall aim of this grant is to elucidate current patterns of prescription stimulant receipt and improve our understanding of potential harms associated with these medications. To achieve this aim, these analyses will: 1) characterize patterns of and identify factors associated with receipt of prescription stimulant medication; 2) develop and validate the accuracy of algorithms used to identify patients with ADHD, a key indication of prescription stimulant use, in electronic health record data, and stimulant use disorder codes; and 3) among patients with ADHD, to examine the association between receipt of prescription stimulants and incident addiction, cardiovascular-related health outcomes, and neuropsychiatric outcomes.

NIH funding

The overall aim of this grant is to investigate potential repurposing of medications for alcohol use disorders to provide health benefits in people living with HIV. These analyses will assess whether each medication under investigation is associated with: 1) improvements in direct HIV-related biomarkers, i.e. decrease in HIV RNA levels and/or increase in CD4 count, 2) improved retention on ART, 3) improvement in liver function as measured by clinically relevant biomarkers of liver damage and function; 4) improvement in physical health and physiological frailty; and 5) reduction in pain level.

About VACS

The Veterans Aging Cohort Study (VACS) is a well-established, international, collaborative network of epidemiological, statistical, and clinical experts, with an exceptional track record of productivity and development of early career researchers, many of whom have transitioned to independent NIH and VA funding. The team are excited to offer this opportunity to develop and apply advanced epidemiologic and statistical methods on large, complex, national cohorts derived from electronic health records (EHR) at the Department of Veterans Affairs (VA). Over the past 25 years, the VACS team have curated and maintained several well-characterized cohorts based on VA data made possible by the national

VA Corporate Data Warehouse. The Warehouse provides access to all VA EHR data, including hospital and outpatient diagnoses (recorded using International Classification of Diseases, Ninth Revision [ICD-9] and Tenth Revision [ICD-10] codes), pharmacy data (i.e., dispensed outpatient and inpatient prescriptions), and laboratory results as well as clinical notes, vital signs (including weight and height), and health factors data (level of alcohol use collected via the AUDIT-C and smoking).

Yale University is an affirmative Acton/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected Veterans and member of minority groups. Applications will be accepted until the position is filled.

Postdoctoral Associate Position in Cancer Biology and Epigenetics

Bakhoum Laboratory – Departments of Ophthalmology & Pathology and Yale Cancer Center.

Overview

We are seeking highly motivated and creative postdoctoral candidates to join our team. Our NIH-funded research is focused on understanding the role of epigenetic dysregulation in melanoma progression and metastasis, with an emphasis on identifying therapeutic targets.

Requirements:

We are looking for candidates who are motivated, creative, and capable of independent research as well as collaborative teamwork. A strong background in cell culture techniques and/or mouse modeling is preferred. Computational skills are preferred but not required.

Lab Culture and Environment

Our lab values interdisciplinary collaboration and the clinical application of research findings. Postdoctoral fellows will have opportunities to work with a diverse team, including medical and graduate students, fostering an environment that encourages independence and the development of innovative ideas. We use a range of techniques including next-generation sequencing, single-cell genomics, high-resolution imaging, and mouse modeling. Our research is supported by both federal and private foundation grants. Candidate will have access to state-of-the-art facilities and equipment.

Career Development

The position offers a supportive environment for professional growth, including mentorship, opportunities to participate in international conferences, and guidance in grant writing.

Application Process

To apply, please submit the following to mbakhoumlab@gmail.com with the subject line “Postdoctoral Position Application”:

• A cover letter detailing your interest in the position, research experience, and career goals.
• Your current CV.
• Contact information for three references.

For more information please visit www.bakhoumlab.org

Job Description

Under the direction and supervision of Prof. Luciano Florido, the Digital Ethics Center (DEC) at Yale University seeks to appoint full-time Postdoctoral Associates to join this multidisciplinary center. The Postdoctoral Associates will be responsible for developing research projects and studies, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with interest and experience in (a) addressing the human, societal, and environmental issues brought about by the development of digital technology (from the Web and social media to AI and robotics), (b) informing and steering policy and legal debates nationally and internationally on these issues, and (c) deepening their expertise to transition to their independent research careers.

The successful candidate can expect significant intellectual autonomy coupled with supportive mentorship to develop and deliver novel and meaningful research in the Governance, Ethical, Legal, and Social Implications (GELSI) of digital technologies in the following areas (in alphabetical order):

• computer science and its GELSI;
• computer games and their GELSI
• cyberwar, cyberconflicts, and their GELSI;
• data science and its GELSI;
• digital economy, especially the GELSI of blockchain, cryptocurrencies, Insurtech, DEFI, game theory and online behavior (e.g., digital advertisement, recommender systems), changing nature of work, gig economy, app economy, network effect;
• digital ethics, including computer ethics, cyber ethics, ethics of AI, information ethics, machine ethics; roboethics;
• e-art, digital art, new aesthetics, NFT, and their GELSI
• e-health, digital welfare, well-being, and their GELSI;
• HCI and its GELSI;
• human rights, human dignity, digital divide, UN SDG;
• information, disinformation, misinformation, deepfakes, fake news, censorship, propaganda, the future of journalism and media, and their GELSI
• law and regulations concerning digital technologies, especially AI and copyright, patent, IP, antitrust, AI auditing, AI legislation;
• network theory and its GELSI
• political science, especially digital democracy (e-democracy, democracy in digital society), agile governance, platform governance, digital geopolitics, digital sovereignty;
• smart cities, twin cities, digital urbanization, and their GELSI
• social data science, especially FAccT*ML issues;
• security (including dark web, ransomware, surveillance) and its GELSI;
• virtual reality, augmented reality, immersive reality, metaverse, XR, and their GELSI.

Key Responsibilities

• Analyse significant GELSI of digital technologies
• Design of qualitative or quantitative studies addressing significant GELSI of digital technologies
• Publish research papers in international peer-reviewed journals or conferences in areas relevant to the study of the GELSI of digital technologies, possibly in collaboration with other DEC members.
• Collaborate with other DEC members to prepare and deliver conference presentations of research results.
• Work on dissemination and outreach
• Edit research outputs (e.g., edited volumes or conference proceedings)

Skills & Qualifications

• Recently completed a PhD in relevant fields, including but not limited to: anthropology, computer science, data science, economics, ethics, jurisprudence, mass media, philosophy, political science, psychology, and sociology.
• Proven record of publications and research outputs commensurate with career stage
• Knowledge or experience of normative analysis
• Specialization or demonstrated interest in the study of GELSI of digital technologies
• Excellent writing skills demonstrated in research publications
• Exceptional project management skills
• Competence in quantitative or quantitative methods
• Ability to communicate effectively (e.g., through writing, presentations) with different audiences (research community, general public, policymakers)

Additional Information:

The Postdoctoral Associate position is envisaged to last up to four years, with an initial appointment of one year renewable upon satisfactory progress. Compensation is determined by experience. More information can be found here. This is not a remote opportunity. The position is located at the Digital Ethics Center, on the campus of Yale University in New Haven, CT.

In accordance with university requirements, postdoctoral trainees in this position are expected to be on campus full time for in-person training. 

To Apply

A relevant doctoral degree and research experience with a strong publication record are required. We welcome candidates who add to the diversity of the center.

Applications will be reviewed on a rolling basis through  June 1, 2024. The anticipated start date is in Fall 2024

Please send your application to dec@yale.edu, using the subject line “Postdoc Applicant,” and including the following documents:

1. Cover letter explaining your background and motivation for the position (2 pages maximum), including contact information for 3 references.
2. Most current CV (maximum 3 pages);
3. A peer-reviewed, published article; and
4. Short (ca. 2,000 words long) proposal about a GELSI research project you would like to develop at the DEC, indicating the problem to be addressed, the working hypothesis about the solution, and the methodology that may be used.

Please submit your materials as PDF files and name them LastName-FirstName.coverletter.pdf, LastName-FirstName.CV.pdf, and LastName-FirstName.proposal.pdf

Qualified applicants will be contacted to schedule an interview, possibly followed by an invitation for a 20-minute presentation, and a request to submit two letters of recommendation.

ABOUT THE DIGITAL ETHICS CENTER AT YALE

The Digital Ethics Center (DEC) at Yale University investigates and evaluates the Governance, Ethical, Legal, and Social Implications (GELSI) of digital technologies and the profound impact of the digital age on human life, society, and the environment, striving to influence the direction of technological development towards a more ethical and sustainable future. The DEC aims to identify and enhance the benefits of digital innovation and technologies while mitigating their risks and shortcomings. As part of the Faculty of Arts and Sciences, the DEC draws from many disciplines, including fields such as AI, anthropology, biomedical ethics, computer science, cybersecurity, data science, economics, epistemology, ethics, ethnography, information theory, Internet studies, law, mathematical logic, management studies, multimedia studies, philosophy, political science, sociology, and statistics and data science. Through its multidisciplinary approach and translational research, the Digital Ethics Center (DEC) aims to provide actionable recommendations and strategies for stakeholders, policymakers, technology experts, and society at large. In doing so, it strives to ensure that the progress of digital technology promotes fundamental human rights, supports the flourishing of all environments, and aligns with the common good.

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.

Postdoc Position- Dr. Jennifer A Kim, MD-PhD

The Division of Neurocritical Care in the Department of Neurology at Yale University is inviting applications for a two-to-three-year postdoctoral position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses on predicting complications and poor outcomes after acute brain injuries, such as trauma, stroke or brain hemorrhage, using data from multiple diagnostic modalities.

The main goal of the research will be to perform time-series or image processing and apply statistical and machine learning methods for prediction of complications and poor outcomes after acute brain injury. The position will require both the processing of already collected datasets as well as assistance with the ongoing effort of establishing a larger data set of recordings, which may include some practical implementation, execution, storage, and transfer of new data.

Applicant must have a background in signal processing and experience in statistical modeling or machine learning methods. Programming experience in Python, Matlab, and/or R is a prerequisite. Experience with EEG or other brain physiology recordings is an advantage but not required. A candidate with a strong statistical background is desired; experience with machine learning methods including random forest and deep learning methods is an advantage, but not required.

Good oral and written English communication skills, the ability to work both independently and as part of a team, is a prerequisite. Candidates must be self-motivated. Responsibilities will include design, implementation and dissemination of research including data processing, modeling, and drafting manuscripts.

This appointment as a postdoctoral researcher requires academic qualifications at the PhD or MD level, preferably in Neuroscience, Bio/Statistics, Engineering, Computer Science, or related areas. Interest applicants should send their CV to Sara Jasak at sara.jasak@yale.edu

Position:  Postdoctoral Associate

Department:  Genetics

Hiring Faculty:  Dr. Yong-Hui Jiang

The Jiang laboratory in the Genetics and Neuroscience is seeking highly motivated candidates for a postdoctoral position. Interests in the laboratory focus on developing new treatments for neurogenetic and neurodevelopmental disorders using CRISPR somatic genome editing approach. In collaborating with Dr. Jiangbing Zhou, Professor of Biochemical Engineering, we have developed a new delivery platform for genome editing mediated by Cas9 and dCas9 in brains and other organs. The new delivery platform, termed Stimuli-responsive Traceless Engineering Platform (STEP) is a non-viral and non-nanoparticle based platform that is capable to penetrate to brain very efficiently.  We have recently received a large NIH grant as a part of Phase 2 of NIH Somatic Genome Editing Consortium. The candidate is expected to develop and test a CRISPR/Cas9 editing based treatment for neurogenetic diseases of interests in mouse model as well as in patient derived IPSC and brain organoids.  

Applicants should be highly motivated with experience in molecular biology, neurological techniques, and mouse study. Of particular interest are candidates with research experience neurogenetic disease mouse models.  The candidate must have a recent PhD or MD/PhD degree in a relevant field with a proven track record of scientific productivity including at least one first author publication in a peer-reviewed journal. Excellent written and oral communication skills are expected. The candidate will be expected to work independently in the design and execution of experiments with guidance from the principal investigator. As projects in the laboratory are often highly collaborative, the candidate should be able to work effectively and enthusiastically in a team environment.

Candidates should send a Curriculum Vitae, a statement of research interests and career goals, and names / contact information for three references to: yong-hui.jiang@yale.edu. Anticipated start date is immediately.

Yale University is an Affirmative Action / Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

Postdoctoral Associate –(Stites Laboratory)

The Stites laboratory would like to hire one to two new postdoctoral fellows this calendar year.  Requirements for the position include a doctoral degree, one or more first author research publications, and the ability to take the lead on one or more major research projects in partnership with the laboratory PI.

Candidates for experimental postdoctoral positions should have rigorous doctoral training in one or more fields of experimental biology and should also have strong technical expertise in one or more fields of experimental biology.

Candidates for computational postdoctoral positions should have advanced mathematical and/or computational backgrounds and should also have strong technical expertise in one or more areas of mathematics or computer science.

Additional information about the laboratory, research interests, completed research projects, and previous postdoctoral fellows is available on the laboratory website: https://www.stiteslab.org/

Interested candidates should send a CV and a statement that describes their interests and goals to Ed Stites, MD, PhD  (email: research@stiteslab.org).

Summary

• Position: Postdoctoral Associate
• Duties: Project director of the Environmental Performance Index (epi.yale.edu)
• Academic unit: Yale Center for Environmental Law & Policy (envirocenter.yale.edu)
• Location: New Haven, CT, USA
• Qualifications: Ph.D. in Environmental Science, Quantitative Social Science, Statistics or Data Science, or a similar discipline
• Term: Summer 2024 – Summer 2026
• Application: Cover letter and CV
• Deadline: Review of applications begins February 1, 2024 and continues until filled.

Position

The Yale Center for Environmental Law & Policy (envirocenter.yale.edu) seeks a Postdoctoral Associate to serve as the project director for the Environmental Performance Index (EPI) (epi.yale.edu). The position will span the Summer of 2024 to the Summer of 2026, culminating in the launch of the 2026 EPI report.

The EPI has been a flagship project of the Center for over twenty years, tracking trends in sustainability and highlighting global leaders in environmental health and ecosystem vitality. Policymakers, researchers, media outlets, and non-governmental organizations rely on the EPI’s data-driven insights to identify environmental priorities and implement more effective sustainability policies.

The Postdoctoral Associate will supervise all aspects of the 2026 EPI analyses and report by: (1) mobilizing a team of data partners, researchers, and sustainability experts; (2) engaging with environmental and health ministries in governments around the world; (3) supervising multiple environmental research streams and data analyses; and (4) overseeing the production of a high-quality report. In addition to the Postdoctoral Associates primary responsibilities as EPI director, we also seek an individual who can engage with the Center’s broader environmental policy agenda.

Essential Duties

• Oversee all elements of the production of the 2026 EPI report, including developing innovative environmental indicators, reviewing data sources, performing statistical analyses, and communicating findings in high-quality publications.
• Work closely with the EPI Team, including Yale faculty, student research assistants, and our partners at Columbia University’s Center for International Earth Science Information Network.
• Contact and consult data partners at other institutions, including academic research centers, think tanks, and non-governmental organizations.
• Ensure methodological rigor and scientific accuracy of the EPI through surveying the latest advances in environmental data, refining existing approaches, introducing new metrics, and engaging with sustainability thought leaders in academic and policy institutions.
• Curate and expand a code library in support of the EPI’s environmental data analyses.
• Coördinate day-to-day operations and administration of the EPI, including hiring and supervising student research assistants, developing and tracking budgets, and managing contracts with data partners.
• Lead the writing of the 2026 EPI report, website, policymakers’ summary, and technical appendix.
• Develop and implement a communication strategy for disseminating the results of the 2026 EPI, including event planning for the release, engagement with news outlets and social media, and other opportunities for presenting the project to diverse audiences.
• Answer inquiries from international media, government officials, academic researchers, and members of civil society.
• Work with Professor Dan Esty, other Yale faculty, and research partners to publish scientific findings and policy insights in high-impact peer-reviewed journals.
• Otherwise support the work of the Center, including contributing to fundraising efforts and writing reports and other materials for donors.

Education & Experience

• A Ph.D. in Environmental Science or Quantitative Social Science. Possible fields include Climate Science, Environmental Chemistry, Ecology, Sustainability, Public Health, Statistics, Data Science, Economics, Political Science, and Public Policy.
• Experience with statistical analyses and comfort with data analysis.
• Experience in coding (ideally using R, but also Python, Matlab, or a similar data-oriented language).
• Broad knowledge of environmental science and policy, especially in the areas of climate change, biodiversity, and international sustainable development.

Skills & Abilities

The ideal candidate will possess:

• Excellent research, writing, interpersonal, and communication skills;
• Experience with interdisciplinary research and collaborations;
• Demonstrated leadership and project management experience;
• Ability to work under pressure, meet tight deadlines, and manage multiple pressing responsibilities with minimal supervision.

Schedule & Compensation

This is a full-time position for two years to run Summer 2024 – Summer 2026. The start date is flexible, but we cannot offer a deferral. The position requires working during normal business hours throughout the calendar year with occasional travel. Salary is competitive and includes a benefits package through Yale University.

Application Guidelines

• Review of applications will begin on February 1, 2024 and will continue until the position is filled.
• Please email a cover letter and CV as a single PDF to Meghan.Kircher@yale.edu and sebastian.block@yale.edu with the subject “EPI 2026 Post Doc Application”. If your email does not have that in the subject, your application may not get reviewed.
  • Letters may be addressed to Prof. Dan Esty, Yale Center for Environmental Law & Policy, 195 Prospect Street, New Haven, CT 06511.
  • Cover letters should address qualifications for this position rather than summaries of research and publications.
• If invited, candidates may be asked for additional materials, including writing samples and references.

Postdoctoral Associate Position in Social and Behavioral Sciences

Location: Yale School of Public Health

Position Type: Full-time, Postdoctoral Fellowship

Length of position: Renewed annually for up to three years

Start Date: February 5, 2024

Salary Range: $65,000 - $68,000

The Society, Connectedness, and Health (SOCAH) Group at Yale School of Public Health is growing as an important leader in research and solutions to help people in organizations and communities socially connect in ways that increase health and prosperity in multiple areas of life. We are seeking a diligent, hungry, highly motivated, and qualified Postdoctoral Research Associate to join our dynamic research team. This position is based on a newly funded project that focuses on advancing our understanding of the causal impact of neighborhood and individual social connectedness on mental health, as well as other health outcomes, among Black adults in the United States. The Postdoctoral Associate will use: 1) data from the Midlife in the United States (MIDUS) Series, which includes longitudinal and cross-sectional data on over 500 Black adults who reside in Milwaukee, WI; and 2) census-tract spatial identifiers linked to each participant, which will be used as a proxy for neighborhoods. Methodological approaches that will be used in this study include longitudinal analyses, geo-spatial analysis, multilevel analyses, mediation analyses, and qualitative research design and analysis. The Postdoctoral Associate will be at Yale and will collaborate with researchers across several institutions (including Villanova, University of Maryland, Michigan State, The George Washington University). The Postdoctoral Associate will be expected to lead several data management and statistical analyses, writing, and submitting manuscripts for publication. The Postdoctoral Associate will benefit from mentorship on academic advancement (e.g., on writing and winning a K01), have opportunities to write and submit NIH grants, and participate in multiple professional development trainings and opportunities (e.g., developing public speaking skills, attend writing retreats, presenting research from the project at national or international conferences). Review of applications will begin immediately and continue until a qualified candidate is hired. The position may be hybrid (80%) in person at Yale in New Haven with flexibility in schedules including workdays.

Key Responsibilities:

1. Oversee, conduct, and assist with systematic literature reviews of epidemiologic studies on social connectedness and health outcomes among Black people. In addition to conducting and publishing systematic or scoping reviews, the Postdoctoral Associate should develop a system to stay current and abreast of the latest developments in social connectedness and health research to integrate new knowledge into the projects and prepare for new projects.
2. Conduct in-depth research on the effects of social connectedness and mental health outcomes using advanced longitudinal, multilevel, mediation, and spatial epidemiology methods. Prepare and analyze longitudinal datasets for analyses aimed at identifying trends, associations, and potential causal relationships, and identify mediating mechanisms between social connectedness and mental health outcomes.
3. Identify other relevant datasets or collaborate with other researchers who have related datasets that allow for replication and expansion of our primary analyses.
4. Organize and manage complex datasets from the Census bureau, and other independent sources that can be linked to the MIDUS datasets while ensuring data quality and integrity. Merge geographic and other spatial- datasets on social, built, and other environmental variables with individual-level data in the MIDUS. Implement data cleaning and preprocessing techniques as needed.
5. Apply advanced statistical techniques to analyze longitudinal data, hierarchical data such as mixed-effects models, survival analysis, and geospatial analysis to obtain Census-tract level data and perform Bayesian spatial analyses, including Small Area Estimation (SAE) techniques to obtain estimates of the variables for each participant in the dataset.
6. Interpret and communicate results effectively in various formats, including Op-Eds, and blog posts on the SOCAH website and/or social media pages.
7. Assist with developing qualitative research protocols, which includes developing the interview guide, working with other team members to conduct interviews, code, and verify transcribed data, and assist with qualitative data analysis in NVivo or related software.
8. Prepare manuscripts (as first author and second or middle author) for publication in peer-reviewed journals and present research findings at conferences and seminars.
9. Collaborate efficiently and effectively with multidisciplinary teams of researchers, epidemiologists, leadership at community-based organizations, community residents, health geographers, biostatisticians, and public health experts. Examples of collaboration includes organizing communications (e.g., zoom, call, emails) with group members to complete manuscripts on time, to facilitate dissemination of results, obtaining and addressing feedback in a respectful way that centers inclusivity and equity.
10. Provide mentorship and guidance to junior researchers, masters students, and doctoral students who work on the project. Collaboration may include overseeing manuscript writing where you are the lead or second author.

Qualifications:

• Ph.D or Dr.PH in Epidemiology, Public Health, Health Geography, Sociomedical Sciences, Sociology, or a related field with experience working in research examining health disparities, social connectedness, social capital, and related constructs in association with mental health variables  
• A strong background obtaining from multiple sources, wrangling, creating new variables from spatial estimation techniques, and merging geo-spatial data products is essential.
• Experience with or interest in geospatial/spatial epidemiology analysis (Desired)
• Demonstrated expertise in advanced epidemiological methods, including but not limited to longitudinal analysis, survival analysis, multilevel/mixed-effects modeling, and causal inference methods such as mediation analyses, merging nested data, obtaining, and building databases from multiple sources (e.g., Policy Map, American Fact Finder, ESRI Business Analyst)
• Advanced proficiency in R (Required), STATA (Required), and Mplus (Desired) statistical software (as demonstrated by papers published where you used this software)
• Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
•  Preference will be given to applicants who demonstrate cross-disciplinary and collaborative approaches to the application of social sciences, epidemiology and community-engaged participatory methods.
• Excellent communication skills, both written and oral, for presenting research findings and collaborating effectively with team members and stakeholders.
• A track record of scholarly publications in peer-reviewed journals is a plus.

Application Process:

Please apply online: http://apply.interfolio.com/139067

Interested candidates should submit the following application materials:

1. Cover letter (2-pages max) outlining your doctoral research, your interest in the lab, why you qualify for the position, what unique strengths you bring, and your plans after the position ends.
2. Brief letter (up to 1 page) that describes your positionality in the world, your core values, and commitment health equity, and transforming the lives of marginalized peoples and communities.
3. Curriculum vitae (CV) which shows a list of publications and prior experience.
4. Reprints of two (2) peer reviewed publications you submitted as a first or 2^nd author
5. Names for two letters of reference, at least one from a previous faculty member that you have published with.

Information on benefits for postdoctoral positions can be found here.

Questions regarding this position should be directed to Dr. Yusuf Ransome at yusuf.ransome@yale.edu.
Please put “Postdoctoral Associate” in the subject of the email. Note, there may be delays in email response.

Yale University is an Affirmative Action/Equal Opportunity Employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected Veterans, and underrepresented minorities.

Funded by a new interdisciplinary team science program from the NIH, we seek postdoctoral applicants with a passion to understand how membrane composition directs membrane protein structure and function. The successful candidate will link their work with the seven primary laboratories in the team (Kathryn Ferguson, Joel Butterwick, Kallol Gupta, Daryl Klein, Yansheng Liu, Wei Mi and Joseph Schlessinger), based in one – or a subset of – these groups. The overarching goal is to develop and apply innovative approaches to study structure and function of integral membrane proteins (IMPs) in their native environments. A key expertise that we seek to bring to our team is the use CRISPR approaches to facilitate quantitative analysis of the native environment (lipid & proteins) of select endogenously expressed IMPs.

The Postdoctoral Associate will have the opportunity to gain or expand expertise in top-down and bottom-up mass spectrometry (MS), studies of protein dynamics, multi-omic analysis, optical imaging, biochemistry, and cell signaling. The team science environment will provide strong mentoring and support to pursue independent directions.

The successful candidate will have completed or will soon complete their PhD degree and possess a strong motivation to perform interdisciplinary team science in the field of membrane proteins.

Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs.

If interested, please send CV, a cover letter detailing past and future research interests, and names of 2-3 references to kathryn.ferguson@yale.edu.

Yale University is an affirmative action/equal opportunity employer and welcomes applications from women, persons with disabilities, protected veterans and members of minority groups.

Postdoctoral Positions in Bioinformatics and

Computational Mass Spectrometry —

Immunopeptidomics & T-cell vaccine targets discovery

(Starting immediately or upon agreement)

Postdoctoral Positions in Etienne Caron Lab at Department of Immunobiology, Yale School of Medicine. The Caron Lab seeks postdoctoral applicants with a passion for innovation in mass spectrometry-based immunopeptidomics research. The overarching goal of the Caron Lab is to develop and apply mass spectrometry-based methods and systems immunology approaches to understand the generation, composition and dynamics of both the self and nonself immunopeptidome, as well as its interaction with T cells, with the ultimate goal of innovating treatments and preventive strategies for a broad range of immune-related diseases.

Expectations and Qualifications:

The successful candidates are expected to work on the development and application of bioinformatic (integrative multi-omic methods) and/or computational mass spectrometry workflows (machine- and deep-learning methods) for the analysis of immunopeptidomic data generated by a timsTOF Ultra (Bruker). We are seeking passionate individuals with a solid background in computational sciences who are already familiar with state-of-the-art packages and analysis pipelines in mass spectrometry-based proteomics and/or immunopeptidomics. Among the required qualifications are the following:

• PhD in computer science, bioinformatics or a related field.
• Work experience in proteomics and/or immunopeptidomics
• Programing skills (Python, R, Java, C, C++).
• Expert in GitHub user.
• Strong communication skills in English (spoken and written).
• Ability to work independently and collaboratively.

Opportunities and Benefits:

Postdocs will have the opportunity to gain expertise in mass spectrometry, systems immunology, spatial immunopeptidomics, T-cell epitope discovery, immunology, and vaccine design. The selected candidates will also have the opportunity to become active players within several Yale Centers, including the Yale Center for Immuno-Oncology (YCIO), Center for Infection and Immunity (CII), and Center for Systems and Engineering and Immunology (CSEI). Strong support will be given to purse independent directions. Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/.

About the Caron Lab:

Dr. Caron is an Assistant Professor at Yale who has recently moved from University of Montreal, Canada. Over the last five years, the Caron Lab has published 14 immunopeptidomics manuscripts including 10 as corresponding papers in Journal of Experimental Medicine, Cell Systems, Cancer Discovery, and other high-profile journals. Dr. Caron is co-founder and former chair (2015-2020) of the Human Immunopeptidome Project. He has a total citation of >4400 times to date and is the recipient of multiple Awards and Recognitions. Please see https://medicine.yale.edu/profile/etienne-caron/ for more information.

If interested, please send your CV and a motivation letter to etienne.caron@yale.edu.

Yale University is an Affirmative Action/Equal Opportunity Employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected Veterans, and underrepresented minorities

Postdoctoral associate, Whitney Humanities Center at Yale

The Whitney Humanities Center at Yale is accepting applications for a one-year postdoctoral fellowship for 2024–25. The fellowship is offered to complement and contribute to the Spring 2025 Franke Seminar in the Humanities: Architectures of Illness. The Center invites applications from scholars in the medical and health humanities working in areas that may include design and biopolitics, the rise of the clinic and clinical spaces, technologies in medicine, the concept of care, architectural forms and healing. The ideal candidate will have a strong background in film and/or literature. The fellow will contribute to the Franke Lectures in the Humanities and will have some teaching responsibilities with the Franke Seminar in the Humanities (Spring 2025). This non-renewable fellowship is for ten months (August 1, 2024–May 31, 2025) and carries a stipend of $70,000 and full benefits. The Center invites applications from candidates who will contribute to a community of scholars in an interdisciplinary setting. The Franke Postdoctoral Fellow will be in residence at the Whitney Humanities Center in New Haven for the full academic year 2024–25.

apply.interfolio.com/138970

Qualifications

A Ph.D. involving research centrally related to the theme of the Franke Seminar: Architectures of Illness, although disciplinary specialization is open. Applicants must have their Ph.D. in hand by August 2024.

Application Instructions

The application can be submitted online via Interfolio and must include  a) cover letter; b) curriculum vitae; c) contact information for three references; and d) a writing sample of no more than 25 pages. Review of applications will begin February 20, 2024. Email inquiries may be addressed to diane.b.brown@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 Damisah lab at Yale University is currently recruiting highly motivated postdoctoral scholars who work with intracranial EEG and single-unit recordings to join our research team. Our lab is composed of scientists from various academic backgrounds, including neuroscience, bioengineering, computer science, and psychology. We aim to create a supportive environment for innovative and rigorous scientific research, as well as personal and professional development of all our members. We provide access to cutting-edge facilities and excellent opportunities for collaboration with neurology, psychiatry, psychology, and neuroscience at the Yale School of Medicine.

Our lab is interested in understanding the neural mechanisms of human cognition, including various states of arousal, the neural correlates of interoceptive feedback during periods of heightened states of arousal, including the correlates of threat and emotional valence in humans.

Interested and qualified candidates should send a cover letter, CV, and representative publication(s) to eyiyemisi.damisah@yale.edu.

Required Skills and Experience:

- A Ph.D. in psychology, neuroscience, engineering, computer science, or a related field is required.

- Proficient in MATLAB, Python, and/or R programming and data visualization experiences.

- Familiarity with time-frequency analysis in Fieldtrip, MNE, or similar environments.

Preferred Skills and Experience:

- Previous experience with human scalp/icEEG, single-unit recordings.

- A strong background in computational modeling of behavioral or neural data.

- Experience with statistics, machine learning, and/or brain stimulation.

Our project enables unparalleled access to various patient populations and a variety of complementary techniques: single and multi-unit neuron recordings, intracranial electroencephalogram, closed loop recording, and stimulating devices such as DBS, RNS, measures of the autonomic nervous system (heart rate, pupillometry). This invasive human electrophysiology-centric approach is combined with behavioral tasks, naturalistic behaviors, and computational modeling to ask fundamental questions about human cognition.

Postdoctoral Position of Mass Spectrometry in Yansheng Liu Lab at the Department of Pharmacology, Yale School of Medicine

The Liu lab at the Department of Pharmacology, Yale School of Medicine, seeks postdoctoral applicants with a passion for mass spectrometry-based spatial proteomics research. The overarching goal of this position is to work with the members in the Liu Lab and other talented researchers at Yale to achieve scientific excellence in revealing fundamental biological roles of protein local environments, protein abundance and lifetime, as well as protein post-translational modifications (PTMs) underlying diseases and in translational medicine.

Qualifications:

The successful candidate is expected to Develop and apply innovative MALDI-imaging mass spectrometry (MS) approaches in an entirely new platform of timsTOF Flex MALDI-2 instrument. The successful candidate will have completed or will soon complete their Ph.D. degree and should have extensive experience in maintaining and troubleshooting high-resolution MS instruments, particularly the timsTOF or the MALDI imaging MS. Hands-on experience in sample preparation and conducting MALDI-imaging MS analysis is preferred. However, significant experience with other mass spectrometers will also be considered. The candidate is expected to have strong English writing and communication skills, strong motivation in scientific research, and a commendable publication record.

Opportunities and Benefits:

The Postdoctoral Associate will have the opportunity to gain or expand expertise in mass spectrometry, spatial proteomics, metabolic and lipidomic analysis, optical imaging, biochemistry, and cell signaling. The lab and department science environment will provide strong mentoring and support to pursue independent directions.

Postdoc compensation and benefits will be according to Yale policies. More information about salaries and other resources can be found at https://postdocs.yale.edu/postdocs.

About the Liu Lab:

Dr. Liu is an Associate Professor at Yale. In the past six years, the Liu Lab has published 43 papers including 18 corresponding papers in Nature Biotechnology, Nature Communications, Science Advances, Developmental Cell, and other high-profile journals. Dr. Liu has a total citation of >8000 times to date and is the recipient of ASMS Research Award, HUPO ECR Award, and US HUPO Robert J. Cotter Award. Please see https://www.yslproteomics.org for more information.

Application Process:

If interested, please send a CV, a cover letter detailing past and future research interests, and names of 3 references to yansheng.liu@yale.edu.

Yale University is an affirmative action/equal opportunity employer and welcomes applications from women, persons with disabilities, protected veterans, and members of minority groups.

Yale University – Institute of Sacred Music: Postdoctoral Associate – Anthropology of Religion

The Yale Institute of Sacred Music, an interdisciplinary graduate center for the study and practice of sacred music, worship, and the arts, invites applications for a post-doctoral associate position in the anthropology of religion with a special emphasis on ritual practice and theory and its associated sensorial cultures. Alongside conducting their own research, the successful candidate would be offering one or two courses each year and student advising, participation in ISM academic gatherings, especially with the ISM Fellows, and other service.

Candidates must hold the Ph.D. or equivalent degree in anthropology, religious studies, or another relevant discipline. Candidates are eligible to apply as post-doctoral associates if they have fewer than six years of related experience following the terminal degree and are not yet employed as full-time regular faculty. The candidate’s research statement must coincide with the aims of this position, and they should also have strong potential as an instructor. The position is appointed for a one-year term renewable twice on completion of a successful review.

The application should contain a C.V.; 1400-word research statement; research statement abstract; sample of scholarly work; and 1-3 course proposals that include course title, course description, and weekly lecture topics. The applicant will also need three letters of recommendation and be prepared to provide email contacts for recommenders when applying.

Applications for this position should be submitted through the ISM Fellows application portal, which can be found at https://fellows.ism.yale.edu/apply. The search committee will begin to read applications in mid-February. The anticipated start date for the fellowship is July 1, 2024. In addition to a competitive stipend, fellows receive research funds and relocation costs. More information about fellowships at the ISM can be found at https://ism.yale.edu/ism-fellows. Any questions about the position or application process can be sent to ismfellows@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.

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: nyeema.harris@yale.edu. The anticipated start date for this position is on or before June 1st.

Postdoctoral Fellowship in Practical Theology

Yale Divinity School

Anticipated Appointment Dates: July 1, 2024, to December 31, 2025.  

Home | Yale Divinity School

Yale Divinity School exists to address the most pressing issues facing humanity in the 21st century. We engage this challenge through scholarship of the highest caliber and through the cultivation of faith. It is this potent, unique combination—faith and intellect—that makes our school powerfully relevant and ideally positioned to take on the challenges of the future.

The mission of the Divinity School is to foster the knowledge and love of God through rigorous scholarly inquiry, the preparation of students for lives of transformative service, the promotion of broad inclusivity and diversity in our communal life, encounter with the sacred through music and the arts, and the advancement of the sustainability of the earth. Traditionally and primarily Christian in character, the school welcomes persons of all faiths and those of no faith.

Conectere is an interdisciplinary project to support secure Christian parenting and caregiving, through research and resource development. Conectere resources parents and caregivers in culturally attentive ways of relating with children, so that the sharing of faith and values is complemented by secure relational practices – a combination shown by research to make faith transmission across generations most effective. The project is funded by the Lilly Endowment, Inc. and led by an interdisciplinary team of scholars at Eastern Mennonite University and Yale Divinity School. 

The Conectere Initiative seeks a postdoctoral fellow in the area of Practical Theology, Christian Education, Youth Ministry, or a related field with experience researching parents and care givers’ central role in the faith development of children.

Mentoring:

The candidate will report to and be mentored by the co-principal investigator of Conectere and Associate Professor of Religious Education, Almeda Wright for the duration of the fellowship. They will also collaborate with the Conectere team of researchers, both at Yale and at Eastern Mennonite University. This will afford them opportunities for further mentoring from others in the field of practical theology and counseling.

Training:

The postdoctoral fellow will participate in the research activities of the Conectere grant initiative on Christian Parenting and Secure Attachment. They will be trained in qualitative research design, execution of research plans, interpretation/scoring of data, and training/supervising student researchers. They will also be trained in the theories and practices of secure attachment and participate in internationally led trainings on how to facilitate groups of parents and caregivers who want to lean into these practices.  The postdoctoral fellow will work with the co-PIs to begin to create parenting groups in Connecticut, Virginia, and other areas as needed. The postdoctoral fellow will also assist the co-principal investigators in writing research reports and presenting research findings at a relevant academic conference.

Education:

Eligible candidates must have a Ph.D. in practical theology (or related field) completed within the last 5 years or have a scheduled dissertation defense date in spring semester 2024. The expectation is that the successful candidate will already have some research experience and demonstrated interest in faith development and parenting/caregiving broadly understood and will use the postdoctoral fellowship as an opportunity to enhance this research trajectory while learning alongside of a dynamic team of scholars and practitioners.

As part of the integration of their research and training, the postdoctoral candidate will teach one course per semester at the master’s level at Yale Divinity School, starting in Fall 2024, for a potential total of three courses during the post-doctoral fellowship. The appointment is for 18 months, starting July 1, 2024.  The successful candidate must live within commuting distance of Yale Divinity School (This is not a remote position and all teaching at Yale Divinity is conducted in person).

Review of  application materials will begin February 15^th, 2024 and will continue until the position is filled.

Interested candidates should submit the following: 1) Cover letter outlining specific experiences relevant to teaching and researching faith development and parenting; 2) Curriculum vitae; 3) Transcripts (official or unofficial); 4) Names and contact information for three references; and 5) Sample syllabus from previous or proposed course related to this position. Materials should be mailed or submitted electronically to the almeda.wright@yale.edu.  

We are currently inviting applications for a 2024-2025 postdoctoral fellowship. This is a joint appointment with The Justice Collaboratory at Yale Law School and the SEICHE Center for Health and Justice at Yale School of Medicine.

The Justice Collaboratory is a social science research center at Yale Law School, comprised of an interdisciplinary group of scholars and researchers at Yale University and beyond. Co-founded in 2015 by Professors Tracey Meares and Tom Tyler, the JC envisions a future where science and scholarship provide the foundation for building community vitality and transforming criminal legal systems, where people and communities feel and experience equity, respect, and trust in criminal legal interactions. Historically, much of our work has involved researching public trust in legal authorities and the popular legitimacy of the criminal legal system.

The SEICHE Center for Health and Justice represents a collaboration between the Yale School of Medicine and Yale Law School. The interdisciplinary group of researchers at the SEICHE Center works to understand and address the extensive public health harms of mass incarceration through clinical care, research, education, and legal scholarship and advocacy. The team of committed clinicians, researchers, and formerly incarcerated individuals bring together real-world experience and scientific research to identify innovative solutions for addressing the health impacts of mass incarceration on individuals, families, and communities as well as produce evidence-based solutions for decarceration—the process of depopulating prisons and jails and investing in community health and safety.

This position is intended for individuals who are interested in an academic or policy career working on the intersections of social science, law, medicine, and public health, with a particular interest in conducting research that takes a public health approach to understanding the harms caused by the criminal legal system and informing policy reform. Especially encouraged to apply are candidates whose work is empirically grounded, rigorous, and interdisciplinary. Candidates should hold a doctoral degree (PhD in Psychology, Criminology, Sociology or other social science field, JD, and/or MD), and their research interests may combine different elements of behavioral science, social science, public health research, and the study of legal institutions. For example, research interests may include or be related to: the health harms caused by incarceration or health disparities among people with criminal-legal involvement, the use of legal epidemiology methods, among other related topics.

Candidates must have familiarity with a range of research methods and strong quantitative and qualitative skills. Experience with community-based participatory research and/or policy research is a plus.

Postdoctoral fellows will become integral members of The Justice Collaboratory and the SEICHE Center. They will participate in Yale’s vibrant academic community, receive mentoring from our senior faculty and have the opportunity to share ideas, gain research experience and produce manuscripts for publication. Fellows will be expected to be involved in and contribute to ongoing and upcoming research projects led by the Justice Collaboratory and the SEICHE Center. Responsibilities will include collaboration with the writing of grant proposals, as well as the collection, management and analysis of research data and publication of peer-reviewed manuscripts. Fellows will be expected to lead a joint project between SEICHE and the JC with the goal of integrating the partnering center’s interdisciplinary missions.

Additionally, there is an opportunity to actively engage with the broader Yale community, attending seminars and events as appropriate. Postdoctoral fellows will be chosen based on demonstrated academic merit, rigor of their research and likelihood of future success collaborating with The Justice Collaboratory and SEICHE Center teams.

This is a full-time, 12-month appointment located in New Haven, CT (appointees may have their contracts extended for an additional year, upon mutually agreed terms). The salary range for this position is between $62,000 - $70,000 and access to Yale’s top-tier employee benefits program.

Candidates should submit a cover letter explaining their interest in this position (of two pages or less), a CV, and full contact information for three references. Please collate these documents into a single PDF file. Applications should be addressed to Caroline Nobo and sent to the care of our program coordinator, Molly Aunger molly.aunger@yale.edu no later than March 30, 2024.

Select candidates will be asked to submit a writing sample, academic transcripts, and reference letters.

Postdoc opportunity: machine learning methods for high-content image screens (Verhaak lab)

Description

The Verhaak lab is looking to recruit a postdoctoral associate who will help us develop analytical approaches for high-content imaging screen data sets. The ideal candidate has experience with machine learning and cancer biology. Previous work with high-throughput approaches is desirable. First author peer-reviewed papers are required.

The Verhaak lab is a hybrid dry and wet lab allowing us to generate and analyze complex data from emerging technologies including high-throughput 3D content screens, live cell tracking of extrachromosomal DNA, and single cell genomics/proteomics to better answer our biologically-driven questions. The candidate will build upon our existing high-content screens datasets, consisting of >50M high-resolution images of billions of single cells, which we use to identify new therapeutic approaches for cancer patients.

We offer a supportive environment that is highly conducive to effectively working towards a great future. If you are a PhD-level or MD-level scientist with first author publications and an interest in cancer, high-throughput methods, we strongly encourage you to apply. Gender parity and diversity in thought, beliefs, and backgrounds in the lab lead to better, more thoughtful science. We welcome applicants from all backgrounds. We place greater emphasis on your ambition and curiosity to confront some of formidable questions in cancer evolution than your current skillset. The goal of your postdoc is to help you achieve your career goal(s), including the ability to develop computational skills, and as evidenced by the many alumni who successfully started their own laboratories. Please take look at our lab website: verhaaklab.com to learn more about our recent news and get to know our team members.

Qualifications

• MD or PhD in genetics, molecular/cell biology, cancer biology.
• Track record of productivity supported by first-author publication(s) in peer-reviewed journals.
• Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively

Benefits

Benefits are commensurate with the Yale University policies for postdoctoral associates, as described at https://postdocs.yale.edu/postdocs/benefits.

How to Apply

Email Roel with questions: roel.verhaak@yale.edu       

Yale School of Medicine

Post-doctoral Associate – Adams Center for Parkinson’s Disease Research

We are looking for an exceptional Post-doctoral Associate to join the Scherzer Laboratory at Yale. The candidate will lead a transformational project designed to unravel novel mechanisms of Parkinson’s and to rapidly repurpose therapeutics using human iPSC models. Candidate therapeutics will undergo pre-clinical development including preclinical efficacy studies, target mechanism dissection using molecular genetics, dose-response studies, and animal model testing. The ideal candidate will be driven by our shared mission to cure Parkinson’s disease. Previous experience with stem cells is required. At least one prior first-author publication is required.

Read about our transformational research at www.scherzerlaboratory.org and https://yaledailynews.com/blog/2023/11/03/new-parkinsons-research-center-to-open-at-yale/

Requirements:

• Ph.D. in molecular genetics, biology, neurobiology, molecular/cellular biology, or a related field, with at least one year of related research experience
• Prior first author publication
• Minimum of three-year commitment is required
• Prior lab experience with human pluripotent stem cells and neurons, confocal microscopy, or molecular biology
• Mission driven to advance neuroscience
• Documented excellent English verbal and written skills

Application:

The complete application should be emailed to Dr. Scherzer at Clemens.scherzer@yale.edu. Applications must include:

1. Biosketch
2. Two letters of recommendation from professional supervisors (e.g. undergraduate advisor or previous PI)
3. A cover letter outlining why you are the ideal candidate for this position
4. Copy of your first-authored article

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

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

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.

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. 

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.

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.

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:

1. Ph.D. in engineering, oceanography, ecology, hydrology, climate science, chemistry, or systems analysis.
2. Experience in the modeling of carbon or water.
3. 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

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.

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:

1. Cover letter detailing previous research experience, interests, and career goals 
2. CV
3. Names and contact information of three academic references

1. 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.
2. 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.
3. 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.
4.  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.
5. 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.

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

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 31^st.