Yale Postdoctoral Positions
Yale University’s Nondiscrimination/Title IX Statements
Thank you for investigating postdoctoral opportunities at Yale. Many faculty do not advertise open positions in their research groups, and you are encouraged to contact them directly to inquire about the possibility of training with them. Other faculty advertise open positions in scholarly journals in their fields. Finally, some post job openings on the Provost’s Office Academic Job listings and our website, listed below. Please click the links below to read more about each position and to find contact information for applying for the job.
Once you find a postdoctoral position your Yale department will contact you to begin the formal hiring process and to assist you in applying for an immigration visa to enter the United States if you require one. Information about the visa process may be found at the Yale Office of International Students and Scholars website.
Postdoctoral Appointees Compensation and Benefits.
Guidance from the Office of Career Strategy on resumes and CVs.
COVID-19 information and vaccination policy.
- Cover letter explaining your background and motivation for the position (2 pages maximum), including contact information for 3 references.
- 3 reference letters.
- Most current CV (maximum 3 pages) including date of award for PhD.
- Short (500 - 1,000 words) proposal about the area research project you would like to develop at the Yale BIDS, indicating the problem to be addressed, the working hypothesis about the solution, and the methodology that may be used.
• Design of programs addressing significant AI/ML challenges in genetics and molecular biology
• Publish research papers in peer-reviewed journals or conferences in areas relevant to the study
• Collaborate with other Yale BIDS members to prepare and deliver conference presentations of research results
• Work on dissemination and outreach, including teaching opportunities if available at collaborative programs
• Develop and submit K99/R00 proposals or equivalent, with support from the faculty, to launch their independent scientific careers
- Cover letter explaining your background and motivation for the position (2 pages maximum), including contact information for 3 references.
- 3 reference letters.
- Most current CV (maximum 3 pages) including date of award for PhD.
- Short (500 - 1,000 words) proposal about the area research project you would like to develop at the Yale BIDS, indicating the problem to be addressed, the working hypothesis about the solution, and the methodology that may be used.
Postdoctoral Positions in Mucosal Immunity and Intestinal Inflammation (Dr. Clara Abraham)
Investigator: Clara Abraham, MD
Mucosal Immunity and Intestinal Inflammation
Yale University, New Haven, CT
POSTDOCTORAL POSITIONS are available for research on mucosal immunity, intestinal immune homeostasis/intestinal inflammation, and innate immunity.
The laboratory investigates mechanisms regulating innate immune responses, host pathogen interactions, and immunological pathways that modulate mucosal immunity and inflammatory bowel disease (IBD) pathogenesis. The current position will focus on elucidating molecular, cellular and biochemical mechanisms that regulate innate immune cells and other pertinent intestinal cell subsets, particularly in the context of genetic variants associated with IBD susceptibility. These studies leverage the tremendous success in the identification of IBD-associated genetic risk loci to define key pathways that regulate intestinal immune homeostasis and drive intestinal inflammation. 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 working with intestinal tissues, intestinal organoids, primary human cells, animal models of intestinal inflammation, 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.
We are seeking a highly-motivated postdoctoral scientist interested in conducting basic-translational research in the joint labs of Drs. Harriet Kluger and David Schoenfeld at the Yale Cancer Center / Yale School of Medicine, with a focus on cancer immunotherapy. The lab studies determinants of response to immunotherapy in renal cell carcinoma and melanoma and investigates novel immunotherapies, with a particular focus on cytokine-based drugs, using immune competent murine models and human cell culture systems for early drug development. We also study mechanisms and determinants of immune related adverse events. We employ intermediate and high throughput molecular profiling platforms to interrogate the blood and tumors of patients receiving immunotherapy. With the breadth of ongoing research projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual.
Candidates with MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in the position and be passionate about scientific investigation to advance cancer care. Successful candidates will be expected to work collaboratively with other members of the labs.
Interested applicants should email their CV and cover letter describing their research goals and career aspirations to David.schoenfeld@Yale.edu
POSTDOCTORAL ASSOCIATE
The Yale Center for Emotional Intelligence, part of the Child Study Center at the Yale University School of Medicine, conducts research and teaches people of all ages how to develop their emotional intelligence. Our work focuses on (1) the development and impact of social and emotional skills among diverse populations, including education settings and organizations, and (2) the mechanisms by which social and emotional skills and training impact significant life outcomes.
We are looking for a Postdoctoral Associate to join our research team, working on a longitudinal study funded by the Youth Sport, Recreation and Wellness Fund to follow a large and representative sample of middle school students over time. The project will investigate the childhood predictors of physical and mental well-being/health and academic and career achievement, with special focus on the behavioral and mental health benefits of participation in youth sports and regular physical activity; emotional intelligence skills; access to social-emotional learning in school; and the role of emotionally supportive adult caregivers (parents, educators, coaches, and mentors).
The postdoctoral associate’s primary responsibility will be to manage and execute the major components of the project, including working with the project team and consultants on study conceptualization, measurement selection, and protocol set-up; school and participant recruitment, data collection, and analysis; and preparation of research articles and academic presentations. The position will include regular travel within the US to school sites, and opportunities for grant writing. Dr. Jessica Hoffmann, Director of Research, will serve as the primary supervisor. Dr. Marc Brackett, YCEI Director, will provide additional supervision and professional support.
Skills and Qualifications
- Doctorate (PhD or EdD) in psychology, education, or a related field
- Specialization or demonstrated interest in developmental psychology, adolescent development, emotional intelligence, and psychological assessment
- Strong interest in the role of sports and/or physical activity and mental health
- Demonstrated ability to work with school communities (educators, students, families), conduct school-based research, and maintain school relations
- Excellent statistics skills, including experience with longitudinal data analysis and multi-level modeling
- Excellent communication skills (e.g., writing research papers, giving presentations)
- Strong project management skills
- Ability to work both independently and collaboratively
- Interest or experience with neurophysiological indicators of well-being preferred but not required.
The anticipated start date is September 1, 2025.
To Apply
Please send a cover letter and CV to jessica.hoffmann@yale.edu. Review of applications will begin immediately and continue until the position is filled. Please have contact information available for three references upon request.
ABOUT THE YALE CENTER FOR EMOTIONAL INTELLIGENCE
Emotions drive learning, decision making, creativity, relationships, and health. Our goal is to design effective approaches for supporting school communities in understanding the value of emotions, teaching the skills of emotional intelligence, and building and sustaining positive emotional climates in homes, schools, and workplaces.
We provide training to educational leaders, teachers, and school staff to support the systemic implementation of SEL (social and emotional learning) and foster those skills in all stakeholders in these communities, including in families and out-of-school time. We test and refine each element of our work, with the goal of leveraging emotions to create healthier and more equitable, innovative, and compassionate communities.
YCEI researchers actively work to be at the forefront of translational emotion science, building and evaluating tools to support students, teachers, and schools to thrive. We do this by conducting research on the science of emotions and emotional intelligence, evaluating programming aimed at fostering emotion skill development in children and adults, and advancing new practices in assessment and implementation science. We support the RULER Approach by providing continuous feedback to our content developers, testing and forwarding the evidence base for SEL, and measuring key outcomes including academic performance, relationship quality, school climate, and overall well-being.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Postdoctoral position in Steven Tang’s lab in Molecular Biophysics and Biochemistry
Steven Tang’s laboratory in the department of Molecular Biophysics and Biochemistry (MB&B) at Yale University invites applications for a postdoctoral position. The successful candidate will be driving cutting-edge research into the mechanisms and engineering of cell–cell fusion and cell signaling in human physiology and reproductive biology. The candidate is expected to be proficient in recombinant protein expression and purification, membrane protein biochemistry, CryoEM structural biology, and tissue culture. Experience working with rodent models is preferred but not required. The successful candidate should have excellent oral and written communication skill, be highly motivated for career development in independent research. The successful candidate will work in a team of fellow trainees in the lab. Learn more about the Tang lab at https://www.steventanglab.com.
The Tang lab is committed to training, teaching, mentoring, and enabling the next generation of scientists and scholars. The successful candidate should expect to gain extensive research experience in several of the following scientific areas: protein biochemistry, cell biology, structural biology, protein engineering, antibody discovery, reproductive biology, and immunology. The successful candidate will receive the scientific, communication, and leadership skills for their career development.
Fundamental to human development and disease, cell–cell fusion is essential in fertilization, muscle regeneration, placental formation, tissue regeneration, and cancer progression. Research in the Tang lab focuses on decoding and rewiring the cell-surface interactomes for cell-cell fusion and cell-surface receptor signaling. The Tang lab uses structural biology, cell biology, and protein engineering to investigate receptor-mediated cell-surface recognition and the molecular machine for membrane fusion and signaling. The Tang lab exploits mechanistic and structural knowledge on these molecular interactions to enable design and development of protein-based therapeutics and vaccines.
Applicants should have at least one first-author publication in a peer-reviewed journal. Applicants should hold or expect to receive a Ph.D. (or equivalent.) in biochemistry, structural biology, cell biology, or a related field. Please email a cover letter, CV, and three names of reference to Steven directly at shaogeng.tang@yale.edu.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.
Multiple postdoc positions are available in Ailong Ke’s Laboratory at Yale University, New Haven, USA.
The Ke lab applies cutting-edge biochemical and biophysical tools to understand molecular mechanisms in RNA-guided processes, and to develop novel genome editing applications based on the mechanistic understanding. Research details can be found in our laboratory and departmental web sites. Representative publications include: Mol Cell. 2024;84(3):463-475; Science. 2022;377(6612):1278-1285; Science. 2022;376(6600):1476-1481; Nature. 2021;598(7881):515-520; Molecular Cell. 2019;74(5):936-950; Science. 2018;361(6397); Nature. 2017;550(7674):137-141; Cell. 2017;170(1):48-60; Nature. 2016;530(7591):499-503.
1) Structural biology or single molecule biophysics: Projects will push the ceiling of mechanistic biology through high-resolution structure determination or single molecule biochemistry. Ideal candidate should have strong background in nucleic acid biochemistry and biophysics. Experience in microbial engineering is considered a plus. The lab has routine access to Krios and FIB-milling instruments.
2) Genome editing: Projects involve developing novel genome editing tools and optimizing in vivo delivery approaches. Ideal candidate should have strong background in nucleic acid biochemistry, various deep sequencing techniques, and mammalian cell culture handling. Experience in mRNA synthesis and delivery or mouse work is considered a plus.
3) Protein and RNA engineering: Projects involves developing/improving novel genome editing tools using AI- or high throughput-based approaches. Ideal candidate should have strong background in AI, directed evolution, or deep mutational scanning.
Qualifications:
Candidates should have published at least one first-author paper in a reputable journal and hold a Ph.D. or equivalent degree before arrival. Please send your CV, list of publications, and three recommendation letters to ailong.ke@yale.edu for consideration.
Title of the Position: Post Doctoral Research Associate, Yale Center for the Science of Cannabis and Cannabinoids
Department and School: Yale Center for the Science of Cannabis and Cannabinoids
Anticipated Appointment Dates: 7/1/2025
Email/Website:
Wendy.agudo@yale.edu (Program Manager)
Introduction of School/Department:
The Yale Center for the Science of Cannabis and Cannabinoids (YC-SCAN²), established in 2023, was created to advance the understanding of cannabis and its derivatives, often referred to as cannabinoids. This innovative Center is a hub for groundbreaking research, dissemination of information, and education in the field of cannabis and cannabinoid science. Our mission is to conduct comprehensive research on the risks and potential therapeutic applications of cannabis and cannabinoids, and to inform public policy based on our findings.
At YC-SCAN², we focus on thorough scientific research and strive to find science-based answers to critical questions concerning the risks and potential medical benefits associated with cannabis and its derivatives. We are also dedicated to translating the knowledge we gain into helpful, practical applications that could enhance patient care and inform public policy.
The Center supports pilot projects from Yale-affiliated researchers, aiming to bridge the gap between basic and clinical research. These projects form the foundation for larger funding applications to NIH and other agencies. YC-SCAN² also encourages multidisciplinary studies into the effects of cannabis and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of scientists and clinicians to carry forward this important work in the emerging field of cannabis science.
Overview of the Position:
Yale Center for the Science of Cannabis and Cannabinoids YC-SCAN² < Psychiatry
is seeking applicants for a paid, postdoctoral associate. The position involves helping coordinate clinical trials and research studies exploring innovative therapies for cannabis related studies, including THC and DMT. Additionally, the position offers opportunities to work on brain imaging studies aimed at understanding the neural basis of cannabis and cannabinoids dependency.
YC-SCAN² is currently conducting several NIH-funding studies for THC Genetics and Aging as well as community implementation research. The postdoctoral associate would join a dynamic team of faculty, research scientists, and students committed to advancing the understanding of cannabis and mental health through research.
Successful applicants will gain valuable experience working with clinical populations, including administering psychiatric rating scales. Comprehensive training will be provided, covering all aspects of clinical research—from participant recruitment and clinical screening to data capture, analysis, and interpretation of study findings.
Training/Mentoring/Education
The postdoctoral associate will work directly with Principal Investigators within the Yale Center for the Science of Cannabis and Cannabinoids (YC-SCAN²), including Dr. Deepak D’Souza. This is a salaried, academic position focused on training in human subjects research within Psychiatry, with a specific focus on cannabis. The postdoctoral associate will receive hands-on experience in all aspects of clinical research in a psychiatric setting, including clinical screening, recruitment of study participants, capture and processing of study data, interpretation and dissemination of findings. They will actively participate in weekly study meetings and the weekly YC-SCAN², Rounds – a forum where the lab discusses ongoing studies and hosts an educational series featuring presentations from internal and external speakers on the latest developments in the field.
Location: West Haven VA Medical Center, 950 Campbell Avenue, West Haven, CT 06516
Qualifications:
Postdoctoral positions are open to those with previous research backgrounds acquired during PhD or MD education. An ideal candidate would have an interest in psychiatry and/or related mental-health research. Excellent organizational skills and attention to detail required for data entry, processing, and quality control assessment.
Process to Apply:
Interested applicants can send a cover letter, CV, and at least two references to Wendy Agudo at wendy.agudo@yale.edu. Review of applications will begin immediately and continue until the position is filled.
Postdoctoral position
Posting Date: 7/29/2024
Yale School of Medicine
Department of Emergency Medicine
The Data Mining (DM) Lab at Yale University lead by Dr. Samah Fodeh has an opening for a postdoctoral researcher to participate in a series of projects that focus on leveraging healthcare data to improve patient care. The work spans work with structured and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a leader in healthcare data science and innovation.
Under the direction of the Principal Investigator, the ideal candidate is expected to lead several efforts, including working with the team to develop, discover and apply novel machine learning/natural language processing/deep learning applications to healthcare. They will also lead or assist drafting analytical sections for peer-review publication for various project. Responsibilities will also include participating in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team.
While programming experience with python and/or R is required, experience with one or more of the following skills will be an asset. However, if the individual is willing to learn these skills, there are opportunities to learn them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision and signal processing in Tensorflow or PyTorch, Llama and GPT models.
Essential Duties
Develop and execute new and/or highly complex algorithms and predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.
Required Education and Experience
PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years of demonstrated experience or an equivalent combination of education and demonstrated experience.
Required Skill/Ability 1:
Demonstrated expertise working with Linux, Python, and Java.
Required Skill/Ability 2:
Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models.
Required Skill/Ability 3:
Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images.
Required Skill/Ability 4:
Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.
Required Skill/Ability 5:
Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.
Please email samah.fodeh@yale.edu if interested.
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
Goshua Lab, Medical Oncology & Hematology, Yale Cancer Center and Yale School of Medicine
Title: Postdoctoral Position in Decision Science and Pharmacoepidemiology
Description: One full-time postdoctoral position at the interface of decision analytic modeling, pharmacoepidemiology and clinical hematology-oncology within the Section of Medical Oncology and Hematology, Department of Internal Medicine, at the Yale University School of Medicine and Yale Cancer Center (Goshua Lab; www.goshualab.com).
Position details:
Successful candidates will have the opportunity to:
(1) design, analyze and publish first author original science at the intersection of health decision science, pharmacoepidemiology, and clinical oncology and hematology,
(2) mentor talented trainees (students, residents, and clinical fellows), both at Yale and within our collaborative research hub,
(3) contribute to grant proposals, and
(4) collaborate on ongoing multi-institutional projects through an established, Yale-led multi-institutional collaborative research hub.
Examples of the practical impact of recently published original science in our lab is available at www.goshualab.com .
Qualifications
Minimum qualifications (#1-4):
1. PhD or MD-PhD, with at least one published first-author manuscript in pharmacoepidemiology and/or health decision science in a peer-reviewed journal.
2. Strong background in epidemiological and statistical methods, including coursework and/or research experience in evidence synthesis.
3. Programming experience using large datasets (e.g., R, Python).
4. Outstanding English written and verbal communication skills, with an ability to work productive both independently and within collaborative teams, and prior experience with writing grants.
Ideal qualifications (#5):
5. Experience with using Cosmos and MarketScan
Salary will be based on the Yale postdoctoral research salary scale. The position is for one year with possible renewal at the second year depending on performance. Anticipated start date is flexible (~spring/summer 2025).
Application Instructions
To apply, please email Dr. George Goshua [george.goshua@yale.edu] with the subject line “Postdoctoral Candidate – [Your Name]” ideally by May 16 and include the following materials: (1) CV, (2) cover letter (detailing key research accomplishments, scientific interests, and career goals) (3) contact information for three references (name with position title, phone, and email address) and (4) 2-3 writing samples of your choice.
YALE SCHOOL OF MEDICINE - DEPARTMENT OF NEUROLOGY – FALCONE LAB
- POSTDOCTORAL JOB DESCRIPTION -
GENERAL SUMMARY/ OVERVIEW STATEMENT:
The research work of the Falcone Lab (www.FalconeLab.org) focuses on both acute brain injury (ischemic stroke, hemorrhagic stroke, traumatic brain injury) and chronic (including asymptomatic) brain injury leading to poor brain health. We integrate clinical, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in population genetics, computational biology, or a related area. Candidates with strong analytical backgrounds in other disciplines are also welcomed to apply. Receiving general direction from Dr. Guido Falcone MD, ScD, MPH, and working in close collaboration with several investigators from across Yale and other institutions in the US, the incumbent will advance research work focused on brain health and acute brain injury.
Visa sponsorship for non-US applicants is possible
PRINCIPAL DUTIES AND RESPONSIBILITIES:
With strong support from the Principal Investigator and other Lab members, the postdoc will be responsible for identifying hypotheses that are relevant to the group’s work, designing rigorous analytical plans to test these hypotheses, lead the necessary data collection and analyses, writing manuscripts and grant applications, and presenting at local, national and international conferences. The Lab is committed to tailor the training experience to the trainee’s goals and career stage, providing the necessary background and tools to prepare her/him for competitive positions in academia, the private sector or government.
QUALIFICATIONS:
· MD, PhD, ScD, DrPH, MPH or MSc (required)
· Proven analytical experience in population genetics, computational biology or other quantitative areas that provide analytical experience that can be extrapolated to human genetics.
· Strong organizational skills
SKILLS / ABILITIES / COMPETENCIES REQUIRED:
· Time Management: Exceptional organizational skills and ability to organize time and priorities effectively, asking for direction when appropriate. Flexibility to handle multiple tasks and deadline pressures.
· Analytical Skills: Ability to conceptualize and conduct complex analyses that involve different typs of data (clinical, genetic, neuroimaging)
· Capacity for independent work
· Critical Thinking/Decision Making: Ability to appropriately evaluate all aspects of a situation and to independently make appropriate and timely decisions.
· Interpersonal/communication: Excellent interpersonal/communications skills and a good command of English language, including medical and scientific terminology.
Please send CV and 3 professional references just contact info, letters are not needed) to:
Guido Falcone MD, ScD, MPH
Associate Professor of Neurology
Postdoctoral Associate Position on Blockchain and Machine Learning in the Dr. Kuo Lab at Biomedical Informatics and Data Science, Yale University
New Haven, Connecticut (USA)
About the postdoctoral project
We are seeking highly motivated postdoctoral researchers in biomedical informatics and data science to work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply. This position is 100% on site in New Haven, Connecticut.
Candidate requirements
Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field (e.g., Health Informatics, Clinical Informatics, Biomedical Engineering, Electrical Engineering). Those in the final stages of their PhD are also eligible to apply. A good understanding of medical data and/or electronic health records is considered an asset. The successful candidate should be capable of working both independently and as part of a team.
Essential skills
Proficiency and hands-on experience in blockchain technology (preferably Ethereum) and/or machine learning.
Solid foundation in computer network and/or data analysis.
Strong programming skills, preferably in Java.
Ability to work collaboratively in an interdisciplinary team.
Good to have
Experience in smart contract development, preferably in Solidity.
Familiarity with cloud computing and shell script.
Knowledge of biomedical blockchain, clinical predictive models, and/or blockchain-based privacy-preserving learning.
Good understanding of medical data and/or electronic health records.
Soft skills
Excellent English, both written and spoken, and strong communication skills.
Ability to work effectively in teams.
Ability and interest in mentoring junior scientists.
Strong problem-solving and critical-thinking skills.
Good time management and organizational skills.
Ability to work independently and take initiative.
About the Supervisor
The primary supervisor for the project is Dr. Tsung-Ting Kuo, an Associate Professor of Biomedical Informatics & Data Science and of Surgery at the Yale School of Medicine. Dr. Kuo is experienced in biomedical blockchain and predictive modeling field with 90+ publications and 3,800+ citations in Google Scholar. Dr. Kuo was awarded a NIH K99/R00 Pathway to Independence Award and will be happy to mentor postdocs for their career award application. Our current project can accelerate the development of methods/technologies to increase willingness of institutions to participate in such a collaboration for improving the effectiveness of healthcare. Our postdocs also have opportunities to connect with other postdocs in our department to build a network of junior researchers. More about Dr. Kuo can be found here at: https://medicine.yale.edu/profile/tsung-ting-kuo/.
About the department
The Department of Biomedical Informatics & Data Science (BIDS) is a new department at the intersection of health sciences and information technology. It develops new approaches to organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here at: https://medicine.yale.edu/biomedical-informatics-data-science/
Additional Information
A Postdoctoral Associate position is an initial appointment of one year renewable upon satisfactory progress. Information on compensation and benefits can be found athttps://postdocs.yale.edu/yale-postdoctoral-positions andhttps://postdocs.yale.edu/postdocs/benefits, respectively. This is not a remote opportunity. The position is located at the Yale BIDS building located 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.
How to Apply
Please send your CV to Dr. Kuo tsung-ting.kuo@yale.edu directly.
Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University
Title: Postdoctoral Associate, Yale School of Medicine
Department/Division: Radiology and Biomedical Imaging, Bioimaging Sciences
Position Description:
Join an exciting effort to develop a low-field, low-cost, MRI scanner for screening mammography. You will participate in the development of MRI reconstruction algorithms for the scanner using machine learning and deep learning.
Qualifications:
The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics, with PyTorch and/or other GPU programming tools is also necessary. You should have completed all requirements for your PhD by the time you are hired.
How to Apply:
Candidates who have most, but not all, of the necessary background are encouraged to apply. Please email a CV and a cover letter to one of the following:
Prof. Hemant Tagare (hemant.tagare@yale.edu)
Prof. Todd Constable (todd.constable@yale.edu)
Prof. Gigi Galiana (gigi.galiana@yale.edu)
Title of Position:
Postdoctoral Associate – The Hattie Chung Lab
Department and School:
Cardiovascular Research Center, Yale School of Medicine
Anticipated Appointment Dates:
July 01, 2025
Email/Website:
hattie.chung@yale.edu | www.hattiechunglab.bio
Introduction to the School/Department
The Hattie Chung Lab is a newly established research group within the Cardiovascular Research Center at Yale School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary work spans ovarian aging, cardiovascular disease, and therapeutic interventions, with a focus on deciphering cellular dynamics and molecular mechanisms driving tissue remodeling, ultimately to identify novel therapeutics.
Responsibilities
We are seeking a highly motivated and creative Postdoctoral Associate to join our team. The selected candidate will lead projects leveraging single-cell and spatial genomics to explore tissue homeostasis in the ovary and cardiovascular systems. This is a unique opportunity to contribute to the early stages of a dynamic and growing lab, with substantial support for scientific and professional development.
Potential research areas include:
- Investigating the role of the immune system in ovarian remodeling, with emphasis on aging and metabolic dysfunction
- Developing new single-cell or spatially resolved genomics methods
- Testing therapeutic interventions in models of ovarian and cardiovascular aging
- Designing in vivo lineage-tracing and labeling strategies paired with high-throughput genomics
- Developing ex vivo and in vitro validation models for functional studies
Additionally, the postdoctoral associate will play a pivotal role in shaping the new Chung Lab, contributing to both its research direction and mentorship efforts, including the guidance of graduate and undergraduate students.
Mentoring & Development Opportunities
The Chung Lab is committed to fostering a supportive and collaborative training environment. The lab is located at Yale School of Medicine in New Haven, CT, providing an exceptional environment for interdisciplinary research, collaboration, and mentorship. The selected candidate will have access to:
- Close mentorship from Dr. Hattie Chung, including regular one-on-one meetings and support for grant writing, presentations, and publishing
- Opportunities to present at national/international conferences
- Access to a broad network of collaborators at Yale and beyond
Qualifications
We welcome applicants with backgrounds in either experimental biology, computational biology, or both.
Required:
- Ph.D. (or equivalent) in Biology, Biochemistry, Chemistry, Bioengineering, Systems Biology, or related discipline
- Strong record of research productivity, including at least one first-author publication (published or under review)
- Excellent written and verbal communication skills
- Ability to work both independently and collaboratively in a fast-paced environment
Preferred experience includes:
- Single-cell and/or spatial genomics technologies
- Next-generation sequencing (NGS) techniques
- Computational analysis of genomic data
- Working with mouse models of disease
- Flow cytometry and related cell isolation techniques
Application Instructions
To apply, please email Dr. Hattie Chung at hattie.chung@yale.edu with the subject line: “Postdoctoral Candidate – [Your Name]”.
Include the following materials:
- Curriculum Vitae (CV)
- Cover letter detailing key research accomplishments, scientific interests, career goals, and preferred start date
- Contact information for three references
Review of applications will begin immediately and continue until the position is filled.
Job Title
Postdoctoral Associate in Social Data Science
Job Description
Join the Digital Ethics Center (DEC) at Yale University and contribute to advanced and innovative research on the human, societal, and environmental implications of digital technologies. We are looking for individuals with a background in social data science to shape the future of digital ethics and policy in a collaborative and multidisciplinary academic environment.
Responsibilities
Under the direction and supervision of Prof. Luciano Floridi, the Postdoctoral Associates are encouraged and supported to:
- Conduct independent research aligned with the Center’s focus on digital ethics, societal implications of digital technologies, and policy guidance.
- Publish high-quality, peer-reviewed articles in leading academic journals.
- Develop and refine innovative research questions for future exploration.
- Collaborate with DEC and Yale faculty and researchers on ongoing multidisciplinary projects.
- Contribute to the formulation of policy and legal debates on digital ethics issues at national and international levels.
- Present at academic workshops and conferences to disseminate research findings.
- Mentor graduate and undergraduate students, if applicable, fostering a vibrant intellectual environment.
Postdoctoral Associates are expected to cultivate their own line of research while benefiting from Yale’s and the DEC’s collaborative and supportive academic community.
Qualifications
We are seeking candidates who meet the following criteria:
- A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences, public policy, or a relevant interdisciplinary area.
- Interest in addressing the governance, ethical, legal, and societal implications (GELSI) posed by digital technologies such as AI, robotics, social media, and the Web.
- Interest in informing and steering policy and legal debates, nationally and internationally, on digital ethics broadly understood.
- Proven research experience in digital ethics, technology policy, or the societal implications of digital technologies.
- A strong publication record or evidence of potential for high-quality peer-reviewed publications relevant to digital ethics.
- Excellent communication skills, both written and verbal, to disseminate research findings effectively.
- A demonstrated ability to work both independently and collaboratively in a multidisciplinary academic environment.
Professional Development Opportunities
Postdoctoral Associates will:
- Receive mentorship and guidance from Prof. Luciano Floridi and other DEC researchers to develop their independent research careers.
- Access Yale University’s extensive academic resources, including libraries, research tools, and interdisciplinary collaborations across departments.
- Present their work at national and international conferences, with travel support provided by the Center.
- Engage with policymakers, industry leaders, and academic peers to translate research into actionable insights and impact.
- Build a robust academic and professional network, preparing for leadership roles in academia, policy, or industry.
- Receive the IT support required by their research (e.g. specialized software or computation time).
Additional Information
- The position is for up to four years, renewable annually based on performance.
- Competitive salary and benefits, including comprehensive health coverage, and funding for conference travel, are provided.
- Postdoctoral Associates are expected to work on campus full-time, following Yale University’s postdoctoral policies.
Important Dates and How to Apply
All applications will be reviewed on a rolling basis through April 30, 2025.
The anticipated start date is in Fall 2025.
Please send your application to dec@yale.edu. Subject line should be “(Position Title) Applicant” (e.g. Postdoctoral Associate Applicant) and include the following documents:
- Cover letter explaining your background and motivation for the position (2 pages maximum)
- Most current CV (maximum 3 pages); and
- A peer-reviewed, published article, and ashort (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.
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. For questions, contact Joanna Carmona, Program Manager at Joanna.carmona@yale.edu
Job Title
Postdoctoral Associate in Digital Ethics
Job Description
Join the Digital Ethics Center (DEC) at Yale University and contribute to advanced and innovative research on the human, societal, and environmental implications of digital technologies. We seek highly motivated Postdoctoral Associates to shape the future of digital ethics and policy in a collaborative and multidisciplinary academic environment.
Responsibilities
Under the direction and supervision of Prof. Luciano Floridi, the Postdoctoral Associates are encouraged and supported to:
- Conduct independent research aligned with the Center’s focus on digital ethics, societal implications of digital technologies, and policy guidance.
- Publish high-quality, peer-reviewed articles in leading academic journals.
- Develop and refine innovative research questions for future exploration.
- Collaborate with DEC and Yale faculty and researchers on ongoing multidisciplinary projects.
- Contribute to the formulation of policy and legal debates on digital ethics issues at national and international levels.
- Present at academic workshops and conferences to disseminate research findings.
- Mentor graduate and undergraduate students, if applicable, fostering a vibrant intellectual environment.
Postdoctoral Associates are expected to cultivate their own line of research while benefiting from Yale’s and the DEC’s collaborative and supportive academic community.
Qualifications
We are seeking candidates who meet the following criteria:
- A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences, public policy, or a relevant interdisciplinary area.
- Interest in addressing the governance, ethical, legal, and societal implications (GELSI) posed by digital technologies such as AI, robotics, social media, and the Web.
- Interest in informing and steering policy and legal debates, nationally and internationally, on digital ethics broadly understood.
- Proven research experience in digital ethics, technology policy, or the societal implications of digital technologies.
- A strong publication record or evidence of potential for high-quality peer-reviewed publications relevant to digital ethics.
- Excellent communication skills, both written and verbal, to disseminate research findings effectively.
- A demonstrated ability to work both independently and collaboratively in a multidisciplinary academic environment.
Professional Development Opportunities
Postdoctoral Associates will:
- Receive mentorship and guidance from Prof. Luciano Floridi and other DEC researchers to develop their independent research careers.
- Access Yale University’s extensive academic resources, including libraries, research tools, and interdisciplinary collaborations across departments.
- Present their work at national and international conferences, with travel support provided by the Center.
- Engage with policymakers, industry leaders, and academic peers to translate research into actionable insights and impact.
- Build a robust academic and professional network, preparing for leadership roles in academia, policy, or industry.
- Receive the IT support required by their research (e.g. specialized software or computation time).
Additional Information
- The position is for up to four years, renewable annually based on performance.
- Competitive salary and benefits, including comprehensive health coverage, IT support, and funding for conference travel, are provided.
- Postdoctoral Associates are expected to work on campus full-time, following Yale University’s postdoctoral policies.
Important Dates and How to Apply
All applications will be reviewed on a rolling basis through April 30, 2025.
The anticipated start date is in Fall 2025.
Please send your application to dec@yale.edu. Subject line should be “(Position Title) Applicant” (e.g. Postdoctoral Associate Applicant) and include the following documents:
- Cover letter explaining your background and motivation for the position (2 pages maximum)
- Most current CV (maximum 3 pages); and
- A peer-reviewed, published article, and ashort (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.
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. For questions, contact Joanna Carmona, Program Manager at Joanna.carmona@yale.edu
Title of the Position:
Postdoctoral Associate – Computational cancer biology (Aitken Lab)
Department and School:
The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology, Yale School of Medicine
Anticipated Appointment Date:
Spring/summer 2025
Email/Website:
https://medicine.yale.edu/profile/sarah-aitken/
Description:
Applications are invited for a Postdoctoral Associate specialised in Computational Biology to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center investigating the causes and consequences of mutational processes in human health and disease. We are an interdisciplinary team of computational, experimental, and clinician scientists allowing us to generate and analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven questions. Our overall aim is to investigate mechanisms of cellular damage, and to understand their consequences for human health and disease.
We wish to recruit a motivated individual to participate in data-driven projects which aim to understand genome stability and acquired DNA alterations in normal cells and in cancer development. The successful applicant will primarily analyse sequencing data generated by our group (Yale and University of Cambridge, UK), collaborators, and publicly available datasets. They will work independently lead projects, develop and optimise pipelines, and analyse, interpret, and present data.
The ideal candidate will have strong programming experience (R, Python, bash); working knowledge in Linux/Unix environments; experience in the analysis of large datasets; and a solid understanding of statistics. The ability to analyse DNA-sequencing data is required (exomes, genomes, duplex sequencing); experience analysing RNA-sequencing data (bulk, single cell, spatial), or other -omics data is beneficial. The role holder must also have excellent communication skills with a proven track record of interacting effectively within interdisciplinary teams (biologists, clinicians, computer scientists, etc), and an enthusiasm to understand and explore the underling biological processes.
We think the best career opportunities for postdocs come in an environment where you lead major projects, contribute to other projects, and actively help to build positive lab culture. The successful candidate will have the opportunity to develop their career through cutting-edge research, close mentorship, and interactions with great collaborators in the UK, Europe and the USA.
Responsibilities include:
- Design, execute, and interpret computational experiments and analyses.
- Supervision and training of students and staff members.
- Participation in group meetings, journal clubs, and CMCO seminars.
- Prepare manuscripts and contribute to grant proposals.
- Present work at internal and external scientific meetings.
- Participate in lab data organisation, housekeeping, shared tasks.
- Work with (and establish new) local and international collaborations.
Qualifications:
- PhD or MD-PhD in bioinformatics, computational biology, genetics, biological sciences, or a related field.
- Track record of research productivity, supported by first-author publication(s) in peer-reviewed journals (or preprints).
- Outstanding written and verbal communication skills, with an ability to work productively both independently and within collaborative teams.
Recent publications:
1. Aitken et al. Genetic background sets the trajectory of cancer evolution. bioRxiv (2025) https://www.biorxiv.org/content/10.1101/2025.01.13.632787v1
2. Anderson et al. Strand-resolved mutagenicity of DNA damage and repair. Nature (2024). https://doi.org/10.1038/s41586-024-07490-1 PMID: 38867042
3. Ng et al. Convergent somatic mutations in metabolism genes in chronic liver disease. Nature (2021). https://doi.org/10.1038/s41586-021-03974-6 PMID: 34646017
4. Aitken et al. Pervasive lesion segregation shapes cancer genome evolution. Nature (2020). https://doi.org/10.1038/s41586-020-2435-1 PMID: 32581361;
5. Brunner et al. Somatic mutations and clonal dynamics in healthy and cirrhotic human liver. Nature (2019). https://doi.org/10.1038/s41586-019-1670-9 PMID: 31645727
Values:
We are committed to building a community where each of us can feel a sense of belonging, and where we can develop our own potential and the potential of our scholarship, research, and practice. Yale is committed to an environment of diversity, civility, and intellectual discovery in which everyone can thrive. Yale does not tolerate harassment or any other act of discrimination on the basis of race, religion, sex, age, national origin, disability, sexual orientation, or gender identity and expression.
Location:
The Aitken lab is split between Yale University and the University of Cambridge, UK which provides a valuable opportunity for transatlantic collaboration with colleagues in Europe.
This position is based at Yale, where we are located at in the Center of Molecular and Cellular Oncology (CMCO), Yale Cancer Center, and part of the Department of Pathology, Yale School of Medicine. CMCO fosters and mentors physician-scientists to advance laboratory-based research programs to bridge fundamental cancer biology with clinical investigation for the translation of basic discoveries into better therapeutics, treatments, or diagnoses.
Compensation:
Compensation for postdoctoral researchers starts at $68,000. Information about additional benefits is available on the Office for Postdoctoral Affairs: https://postdocs.yale.edu/policies/postdoc-compensation
Application process:
Candidates should email Dr Sarah Aitken with the following:
1. Cover letter: brief statement of research experience and interests, your motivation to join the Aitken lab, and future career goals.
2. CV
3. Contact information (including email address and phone number) for three referees, one of whom should be your most recent line manager.
Please include “Postdoctoral Associate (Computational), Your full name” in the subject line.
Closing date: We will review applications on a rolling basis.
Title of the Position:
Postdoctoral Associate – Cancer biology and genomics (Aitken Lab)
Department and School:
The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology, Yale School of Medicine
Anticipated Appointment Date:
Spring/summer 2025
Email/Website:
https://medicine.yale.edu/profile/sarah-aitken/
Description:
Applications are invited for a Postdoctoral Associate to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center investigating the causes and consequences of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven questions. Our overall aim is to investigate mechanisms of cellular damage, and to understand their consequences for human health and disease.
We wish to recruit a motivated postdoc to lead projects which aim to understand genome stability and acquired DNA alterations in normal cells and in cancer development. The successful applicant will work independently, perform experiments, develop and optimise assays, and analyse, interpret, and present data. In addition, they will contribute to other Aitken lab projects (Yale and University of Cambridge, UK), and interact with collaborators in the US and Europe.
The ideal candidate will have expertise cell and molecular biology in human cell models, cancer biology, and genomics. Experience in genomic instability, DNA damage/repair, and mutagenesis is beneficial. Computational experience is highly desirable but not required. We are also interested in candidates with experience working with human tissue, spatial transcriptomics/genomics, laser capture microdissection, and/or image analysis. The role holder must have excellent communication skills with a proven track record of interacting effectively within interdisciplinary teams (biologists, clinicians, computer scientists, etc), as well as creativity, curiosity, problem-solving skills.
We think the best career opportunities for postdocs come in an environment where you lead major projects, contribute to other projects, and actively help to build positive lab culture. The successful candidate will have the opportunity to develop their career through cutting-edge research, close mentorship, and interactions with great collaborators in the UK, Europe and the USA.
Responsibilities include:
- Design, execute, and interpret experiments and analyses.
- Supervision and training of students and staff members.
- Participation in group meetings, journal clubs, and CMCO seminars.
- Prepare manuscripts and contribute to grant proposals.
- Present work at internal and external scientific meetings.
- Participate in lab organisation, housekeeping, shared tasks.
- Work with (and establish new) local and international collaborations.
Qualifications:
- PhD or MD-PhD in molecular biology, genetics, biomedicine, bioinformatics, or a related field.
- Track record of research productivity, supported by first-author publication(s) in peer-reviewed journals (or preprints).
- Outstanding written and verbal communication skills, with an ability to work productively both independently and within collaborative teams.
Recent publications:
1. Aitken et al. Genetic background sets the trajectory of cancer evolution. bioRxiv (2025) https://www.biorxiv.org/content/10.1101/2025.01.13.632787v1
2. Anderson et al. Strand-resolved mutagenicity of DNA damage and repair. Nature (2024). https://doi.org/10.1038/s41586-024-07490-1 PMID: 38867042
3. Ng et al. Convergent somatic mutations in metabolism genes in chronic liver disease. Nature (2021). https://doi.org/10.1038/s41586-021-03974-6 PMID: 34646017
4. Aitken et al. Pervasive lesion segregation shapes cancer genome evolution. Nature (2020). https://doi.org/10.1038/s41586-020-2435-1 PMID: 32581361;
5. Brunner et al. Somatic mutations and clonal dynamics in healthy and cirrhotic human liver. Nature (2019). https://doi.org/10.1038/s41586-019-1670-9 PMID: 31645727
Values:
We are committed to building a community where each of us can feel a sense of belonging, and where we can develop our own potential and the potential of our scholarship, research, and practice. Yale is committed to an environment of diversity, civility, and intellectual discovery in which everyone can thrive. Yale does not tolerate harassment or any other act of discrimination on the basis of race, religion, sex, age, national origin, disability, sexual orientation, or gender identity and expression.
Location:
The Aitken lab is split between Yale University and the University of Cambridge, UK which provides a valuable opportunity for transatlantic collaboration with colleagues in Europe.
This position is based at Yale, where we are located at in the Center of Molecular and Cellular Oncology (CMCO), Yale Cancer Center, and part of the Department of Pathology, Yale School of Medicine. CMCO fosters and mentors physician-scientists to advance laboratory-based research programs to bridge fundamental cancer biology with clinical investigation for the translation of basic discoveries into better therapeutics, treatments, or diagnoses.
Compensation:
Compensation for postdoctoral researchers starts at $68,000. Information about additional benefits is available on the Office for Postdoctoral Affairs: https://postdocs.yale.edu/policies/postdoc-compensation
Application process:
Candidates should email Dr Sarah Aitken with the following:
1. Cover letter: brief statement of research experience and interests, your motivation to join the Aitken lab, and future career goals.
2. CV
3. Contact information (including email address and phone number) for three referees, one of whom should be your most recent line manager.
Please include “Postdoctoral Associate (Experimental), Your full name” in the subject line.
Closing date: We will review applications on a rolling basis.
Title of Position: Postdoctoral Researcher
Department and School: Departments of Internal Medicine and Genetics, Yale School of Medicine
Anticipated Appointment Dates: Summer/Fall 2025 (flexible)
Email/Website: stefania.nicoli@yale.edu / nicolilab.com
Introduction of the School/Department: The Nicoli Lab is seeking a highly motivated Postdoctoral Researcher with expertise in RNA biology to investigate localized mRNA processes—such as selective translation, transport, phase separation, and localization—that enable cells to respond to mechanical stimuli.
This project will explore RNA-based regulatory mechanisms in mechanotransduction, aiming to understand how the regulation of mRNAs influences cell behavior in response to extracellular matrix and blood flow-induced hemodynamics. Ultimately, our goal is to uncover how mRNA can serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease treatment.
Location of lab: 300 George St. New Haven, CT 06511.
Responsibilities:
- Design and conduct experiments on post-transcriptional mRNA regulation in the context of cell biology and tissue ex-vivo and in vivo mechanotransduction.
- Investigate RNA-mediated processes governing cellular responses to mechanical cues.
- Utilize advanced molecular and imaging techniques to study RNA localization and function.
- Collaborate within a multidisciplinary team at the intersection of RNA biology and biomechanics.
- Present findings in scientific conferences and author top notch publications.
Details on Mentoring and Responsibilities: The Nicoli Lab is committed to fostering the professional and personal growth of its members, providing them with the tools and experiences necessary to develop into independent researchers and leaders in science. Our mentoring plan incorporates a variety of structured initiatives and resources tailored to support career development: weekly lab meetings, individual meetings, biannual career development reviews, leadership and entrepreneurship training, collaborative training opportunities, and networking and conferences.
Qualifications:
- PhD in Molecular Biology, RNA Biology, Biophysics, or a related field.
- Strong background in RNA biology, gene regulation, or mechanotransduction.
- Experience with RNA imaging, ribosome profiling, or related transcriptomic techniques.
- Excellent problem-solving skills and ability to work independently.
Optional Information: n/a
Application Instructions: To apply, please send your CV, a brief cover letter, and contact information for three references to stefania.nicoli@yale.edu
Title of the Position: Postdoctoral Associate
Department and School: Yale Comprehensive Epilepsy Center, Department of Neurology, Yale School of Medicine & VA NORSE Study
Anticipated Appointment Dates: July 1st, 2025 (1-year appointment, with the possibility of renewal)
Email/Website: https://medicine.yale.edu/neurology/divisions/epilepsy/
Introduction of School/Department:
The Yale Comprehensive Epilepsy Center, within the Department of Neurology at Yale School of Medicine, is internationally recognized for its excellence in epilepsy research, clinical care, and education. Our mission is to advance understanding, diagnosis, and treatment of epilepsy and status epilepticus through interdisciplinary collaboration across departments, including Neuroscience, Immunology, Neurosurgery, Psychology, Psychiatry, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES (Febrile Infection-Related Epilepsy Syndrome), integrating biospecimen collection, patient outcomes analysis, and translational research. This unique collaboration between Yale and the VA provides a dynamic research environment with access to a broad patient population.
Overview of the Position:
The Postdoctoral Associate will dedicate 70% effort to the VA NORSE clinical research study under the supervision of Dr. Margaret Gopaul and 30% effort to the Yale NORSE study under the supervision of Dr. Lawrence Hirsch; Drs. Hirsch and Gopaul will be closely involved with both studies. The postdoc will play a key role in the NORSE multicenter study and biobank, focusing on patient recruitment, data collection, biospecimen handling, protocol adherence, data analysis, preparation of presentations and manuscripts, and multicenter collaborative research efforts.
- Education: The postdoctoral associate will gain direct experience in clinical research coordination, including epilepsy-focused data analysis, patient care procedures, and regulatory compliance. The role provides valuable training in neurophysiology, epilepsy, neurocritical care, status epilepticus, neuroimmunology, and biomarker research, aligning with advanced medical and neuroscience training programs.
- Training: The postdoc will receive hands-on training in epilepsy research, including:
- Patient recruitment and consenting following IRB-approved protocols.
- Clinical data collection and registry management, ensuring high data accuracy.
- Biospecimen processing and shipping across VA research sites.
- IRB and regulatory compliance procedures, including protocol adherence and reporting.
- Data analysis using specialized research tools, supporting and preparing scientific presentations and publications.
- Participation in epilepsy conferences and symposiums to gain exposure to the latest research and clinical advancements.
- Patient-centered outcome assessment and research.
- Mentoring: The postdoctoral associate will receive regular mentorship from Drs. Gopaul and Hirsch, including:
- Weekly one-on-one meetings with faculty mentors to discuss research progress.
- Participation in lab meetings and journal clubs to enhance knowledge in epilepsy and neurophysiology.
- Opportunities for presentations at local, regional, and national meetings, manuscript writing, grant preparation, and professional development.
Qualifications:
- MD, PhD, PharmD, or equivalent degree.
- Background in research experience required. Mentoring and courses are provided as needed for principles of experimental design, problem-solving, writing, and data analysis.
- Prior experience in a medical setting or lab is required.
- Excellent writing skills and verbal communication skills are mandatory.
- Experience with database software is preferred, especially REDCap.
- Prior experience in a clinical setting is preferred, with the ability to multitask research coordination, liaise with academic and external sites/collaborators, review medical charts, manage regulatory affairs, and oversee project execution.
- U.S. citizenship is required, as per VA credentialing requirements.
The selected candidate will be the primary study coordinator for the Yale/VA NORSE study and the NORSE/FIRES Biorepository. There are ample opportunities for attending educational conferences in the Department of Neurology and the Epilepsy Center and for shadowing attending physicians in the clinic and on hospital rounds.
Process to Apply:
- Deadline: Rolling basis until the position is filled.
- Required Documents:
- Cover letter
- Curriculum Vitae (CV)
- One-page description of research interests
- Three references and contact information
- Submission: Applications should be sent to Margaret.gopaul@yale.edu and lawrence.hirsch@yale.edu
Postdoctoral Position Yale University, USA
The Nicoli Lab (Scan QR Code) is seeking a highly motivated Postdoctoral Researcher with expertise in RNA biology to inves:gate localized mRNA processes—
such as selective translation, transport, phase separation, and localization—that enable cells to respond to mechanical stimuli.
This project will explore RNA-based regulatory mechanisms in mechanotransduction, aiming to understand how the regulation of mRNAs influences cell behavior in response to extracellular matrix and blood flow-induced hemodynamics. Ultimately, our goal is to uncover how mRNA can serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease treatment.
Key Responsibilities
- Design and conduct experiments on post-transcriptional mRNA regulation in the context of cell biology and tissue ex-vivo and in vivo mechanotransduction.
- Investigate RNA-mediated processes governing cellular responses to mechanical cues.
- Utilize advanced molecular and imaging techniques to study RNA localization and function.
- Collaborate within a multidisciplinary team at the intersection of RNA biology and biomechanics.
- Present findings in scientific conferences and author top notch publications.
Qualifications:
- PhD in Molecular Biology, RNA Biology, Biophysics, or a related field.
- Strong background in RNA biology, gene regulation, or mechanotransduction.
- Experience with RNA imaging, ribosome profiling, or related transcriptomic techniques.
- Excellent problem-solving skills and ability to work independently.
If you are excited about unraveling RNA-driven mechanisms in cellular responses to mechanical forces, we encourage you to apply!
To apply, please send your CV, a brief cover letter, and contact information for three references to stefania.nicoli@yale.edu
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, PhD, 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, and Harsh Parikh, PhD, incoming Assistant Professor in the Department of Biostatistics, with a focus on the analysis of electronic health records and real-world healthcare data. 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 as well as support writing research grants. Professional development will be an integral part of the position. This role enables postdocs to gain expertise in causal analysis within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various sources such as electronic health records, biobanks, registries, etc. 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 before the start of the appointment
● 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
● Experience with clinical, EHR, or biobank data analyses 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: Flexible, as early as May 1, 2025
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/164300
Questions regarding this position should be directed to matthew.schlager@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.
Yale College of Medicine, Department of Pathology, Mandel-Brehm lab
The Caleigh Mandel-Brehm lab in the Pathology Department at Yale has an opening for a postdoctoral fellow with interests in the fast-emerging field of neuroimmunology. There is increased recognition that immunopathology is directly involved in diseases affecting the brain, but the mechanisms causal to breech of the protective blood brain barrier, and subsequent cytotoxicity targeted to different brain regions, remain poorly understood. Driving new breakthroughs in understanding these mechanisms has been the development of new technologies during my postgraduate research at UCSF, such as new adaptations of a phage sequencing approach, leading to discovery of novel brain antigen targets in a class of autoimmune paraneoplastic neurological syndromes. Now, this and other emerging technologies, such as combining use of human brain tissue and mouse models, are being applied in my lab at Yale. As such, my lab offers an ideal platform for discovery and career training.
Qualified applicants will participate in ongoing projects based on their interest and building on their previous predoctoral training. The proposed project will involve training in human iPSC-derived neural cells and utilize wide ranging molecular technologies including mass spectrometry, single-cell RNA analysis, and imaging. The ideal candidate will also spearhead a new approach for studying the latent autoreactome in postmortem human brain tissue. As part of mentorship, I am fully committed to providing individual and team involvement in experimental design and execution, data analysis, presentations of your work and scientific writing. My lab has collaborations within the department at Yale, including a one-of-a-kind relationship with the Neuropathology Department and Brain Discovery Group, as well as with labs abroad.
Qualifications:
Candidates must have a strong research track record and hold a PhD or equivalent in biological sciences. Preferred training includes the areas of molecular biology (RNA/DNA and protein), immunology, cancer and neuroscience.
Compensation:
This position offers a competitive salary of $68,000/year, full healthcare benefits, and funding to attend conferences. Yale provides a vibrant postdoctoral community with resources to support family life, career development, and well-being. For information on postdoc salary, housing, the perks of living in New Haven, and more information please visit Yale office for postdoc affairs (https://postdocs.yale.edu/)
Apply:
Interested candidates please email me at Caleigh.Mandel-Brehm@yale.edu with a cover letter that describes their general interests, prior training and career goals, well as a CV with 3 references. Interviews will be conducted in-person or zoom depending on geographic constraints.
POSTDOCTORAL POSITION, RAREDON LABORATORY, 2025-2027
T32 Training Fellowship
Yale School of Medicine
Department of Anesthesiology
Vascular Biology & Therapeutics
Program in Translational Biomedicine
Annual Stipend: Approximately 61-71K Based on NIH Postdoctoral Fellows Payscale (see https://www.niaid.nih.gov/grants-contracts/salary-cap-stipends)
Term: 2 years beginning July 1, 2025
Benefits: Yale Fellowship Benefits; Candidate-Driven Faculty Mentorship, Training in Independent Research Management; Resources for Transition to Independence
Description: The Raredon Laboratory is seeking candidates for a fully-funded T32 postdoctoral fellowship position focusing on regenerative lung biology and translational mRNA/miRNA engineering. The Raredon Lab is a mixed wet/dry lab that studies cell-to-cell communication in native and engineered lung tissues, with a particular focus on the remodeling of the capillary-alveolar barrier during health, disease, and regenerative repair. We apply data-driven knowledge to the development of next-generation regenerative therapeutics. Our group is a multidisciplinary lab at Yale within the Department of Anesthesiology, the Vascular Biology & Therapeutics Program, and the Program in Translational Medicine, which allows postdoctoral trainees first-person access to a rich training environment spanning translational lung biology, computational data science, and biomedical and biological engineering. This position is funded by the T32 Training Program in the Department of Anesthesiology at Yale, and will provide mentorship on transition to research independence, long-term career advancement, and the development of an intramural and extramural academic network tailored to the candidate’s interests. This fellowship will allow candidates to develop, or expand upon, advanced skills in computational data analysis, cross-species lung biology, and systems-level RNA engineering, while allowing a high degree of exploratory and experimental freedom within this space.
Requirements: Candidates must have either a PhD, MD/PhD, or equivalent to apply. A background in R, Python, or other coding language is preferred but not required; candidates must have at least 1 first-author publication OR a strong history of writing and publishing scientific papers as a member of a larger scientific team. Applicants are encouraged to apply with backgrounds in any biologic, technical, or medical discipline. Per the T32 track program requirements, candidates must have a green card or US citizenship to be eligible.
Application Process: Please send a CV & 1 paragraph description of your background and long-term career goals to Robert Schonberger, Director of the T32 training Program (robert.schonberger@yale.edu) and Micha Sam Brickman Raredon, PI of the Raredon Laboratory (michasam.raredon@yale.edu). Applicants chosen for interview will be asked to provide 2 professional references who can speak to their skills as scientists and potential for long-term research independence.
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit “Learn about background checks” under the Applicant Support Resources section of Careers on the It’s Your Yale website.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.
The Lewis B. and Dorothy Cullman–Joan Whitney Payson Postdoctoral Fellowship is a full-time, one-year fellowship, with the possibility of renewal for a second year, intended for an emerging professional with a PhD who is considering a career in museum education or academic engagement. Reporting to the Bradley Associate Curator of Academic Affairs and working closely with colleagues and collaborators across and beyond Yale University, the fellow will gain broad, hands-on experience in interactive and interdisciplinary teaching with objects; university-level outreach and curricular programs; and the execution and evaluation of educational offerings for diverse audiences.
The focus of this fellowship is university-level curricular engagement at the Yale University Art Gallery. Class visits to the Gallery are conducive to teaching that engages students’ multiple intelligences and can train them to be analytical observers, agile thinkers, and empathetic individuals. The fellow will participate in the rigorous Wurtele Gallery Teacher training program and learn from museum educators about art-based pedagogies and the Gallery’s global collections. A key project of the fellowship will be to help develop pedagogy workshops and innovative teaching resources for faculty, postdocs, and graduate students.
Emerging scholars with a doctorate in art history, visual studies, archaeology, anthropology, education, or a related academic field, as well as a strong interest in interdisciplinary approaches to teaching with collections, are encouraged to apply. We welcome and encourage applications from individuals of all backgrounds, especially those from traditionally underrepresented groups in the field of museum education.
At least one year of experience teaching with objects in a museum setting is required. Residence in the greater New Haven area for the term of the fellowship is required. The fellow is expected to work on-site at the Gallery five days per week. Some evening and weekend work is required. Other duties as assigned by supervisor.
The successful candidate will have excellent communication, interpersonal, research, and writing skills; a demonstrated ability to communicate with museum staff, faculty, students, and the public in a knowledgeable and professional manner; an interest in connecting with diverse audiences; an ability to take initiative and anticipate actions needed; and a commitment to inclusive teaching practices. Experience developing and leading pedagogy workshops would be especially welcome.
Applicants must submit a CV with the names and contact information of three references and a cover letter that addresses the candidate’s interest in the fellowship.
Submit applications (in PDF format) to: Sydney Skelton Simon, the Bradley Associate Curator of Academic Affairs, sydney.simon@yale.edu.
Application deadline: March 9, 2025
Expected start date: August 1, 2025
Salary: $68,000; a competitive benefits package, including health insurance. For more details, see https://postdocs.yale.edu/postdocs/benefits. In addition, the Gallery offers a professional development and conference travel stipend of up to $2,000 per year and up to $1,000 reimbursement for relocation costs.
This position is generously endowed by the Lewis B. and Dorothy Cullman Fund for Education and the Joan Whitney Payson (1903–1975) Fund.
Yale University considers applicants for employment without regard to and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression.
Research Fellow Position in the Yale Depression Research Program as part of the Department of Psychiatry
Introduction of School/Department
The Yale Department of Psychiatry provides the highest quality education in the field of Psychiatry; to providing leaders and leadership for the field; and to acquiring and disseminating new scientific knowledge pertinent to the causes and treatments of severe neuropsychiatric disorders and to serving as a model of exemplary mental health care for students and society.
Overview of the Position
The Yale Depression Research Program is seeking to hire a clinical research fellow (PGY-5 +) to assist in our clinical research efforts. The Yale Depression Research Program (YDRP) is a multi-PI group that has been very successful in conducting clinical research funded by a variety of sources (NIH, industry, PCORI). YDRP is also very prolific in publishing.
Current and recent clinical trials include studies examining clinical effects of ketamine and esketamine (comparative effectiveness), esketamine/ketamine plus cognitive behavioral therapy to improve longer-term outcomes, psilocybin in depression, ketamine in patients with comorbid depression and Parkinson’s disease, kappa opioid receptor antagonists, and zuranolone (now FDA approved for post-partum depression).
Specific duties of the fellow include:
- Assisting with leadership and conduct of large multi-center studies
- Establishing an independent research focus in mood disorders research
- Securing independent funding (e.g., K award)
- Writing, preparing and submitting manuscripts for peer-reviewed publication
Qualifications:
Applicants must have demonstrated academic productivity, hold the degree of Medical Doctor (or equivalent) and have completed a psychiatry residency by July 2025. In addition, applicants must be license eligible in the State of Connecticut to practice medicine, be a US citizen, or permanent resident, or holder of visa permitting employment.
Application Instructions:
Interested applicants can send a cover letter, CV, and at least two references to Libby DiDomizio at libby.didomizio@yale.edu. Review of applications will begin immediately and continue until the position is filled.
Title of the Position: Post Doctoral Research Associate, Yale Center for the Science of Cannabis and Cannabinoids
Department and School: Yale Center for the Science of Cannabis and Cannabinoids
Anticipated Appointment Dates: 3/1/2025
Email/Website:
Wendy.agudo@yale.edu (Program Manager)
https://medicine.yale.edu/psychiatry/research/programs/center-science-cannabis-cannabinoids/
Introduction of School/Department:
The Yale Center for the Science of Cannabis and Cannabinoids (YC-SCAN²), established in 2023, was created to advance the understanding of cannabis and its derivatives, often referred to as cannabinoids. This innovative Center is a hub for groundbreaking research, dissemination of information, and education in the field of cannabis and cannabinoid science. Our mission is to conduct comprehensive research on the risks and potential therapeutic applications of cannabis and cannabinoids, and to inform public policy based on our findings.
At YC-SCAN², we focus on thorough scientific research and strive to find science-based answers to critical questions concerning the risks and potential medical benefits associated with cannabis and its derivatives. We are also dedicated to translating the knowledge we gain into helpful, practical applications that could enhance patient care and inform public policy.
The Center supports pilot projects from Yale-affiliated researchers, aiming to bridge the gap between basic and clinical research. These projects form the foundation for larger funding applications to NIH and other agencies. YC-SCAN² also encourages multidisciplinary studies into the effects of cannabis and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of scientists and clinicians to carry forward this important work in the emerging field of cannabis science.
Overview of the Position:
The Yale Center for the Science of Cannabis and Cannabinoids (YC-SCAN²), is seeking applicants for a paid, postdoctoral associate. The position involves helping coordinate clinical trials and research studies exploring innovative therapies for cannabis related studies, including THC and DMT. Additionally, the position offers opportunities to work on brain imaging studies aimed at understanding the neural basis of cannabis and cannabinoids dependency.
YC-SCAN² is currently conducting several NIH-funding studies for THC Genetics and Aging as well as community implementation research. The postdoctoral associate would join a dynamic team of faculty, research scientists, and students committed to advancing the understanding of cannabis and mental health through research.
Successful applicants will gain valuable experience working with clinical populations, including administering psychiatric rating scales. Comprehensive training will be provided, covering all aspects of clinical research—from participant recruitment and clinical screening to data capture, analysis, and interpretation of study findings.
Training/Mentoring/Education
The postdoctoral associate will work directly with Principal Investigators within the Yale Center for the Science of Cannabis and Cannabinoids (YC-SCAN²), including Dr. Deepak D’Souza. This is a salaried, academic position focused on training in human subjects research within Psychiatry, with a specific focus on cannabis. The postdoctoral associate will receive hands-on experience in all aspects of clinical research in a psychiatric setting, including clinical screening, recruitment of study participants, capture and processing of study data, interpretation and dissemination of findings. They will actively participate in weekly study meetings and the weekly YC-SCAN², Rounds – a forum where the lab discusses ongoing studies and hosts an educational series featuring presentations from internal and external speakers on the latest developments in the field.
Location: West Haven VA Medical Center, 950 Campbell Avenue, West Haven, CT 06516
Qualifications:
Postdoctoral positions are open to those with previous research backgrounds acquired during PhD or MD education. An ideal candidate would have an interest in psychiatry and/or related mental-health research. Excellent organizational skills and attention to detail required for data entry, processing, and quality control assessment.
Process to Apply:
Interested applicants can send a cover letter, CV, and at least two references to Wendy Agudo at wendy.agudo@yale.edu Review of applications will begin immediately and continue until the position is filled.
POST-DOCTORAL/ARS POSITION AVAILABLE IN STRUCTURAL BIOLOGY (X-ray and Cryo-EM)
DEPARTMENT OF PHARMACOLOGY - YALE UNIVERSITY SCHOOL OF MEDICINE
MAP kinase phosphatases (MKPs) are enzymes that activate kinases by removing phosphate groups, playing crucial roles in both physiological processes and various diseases. Developing drugs that target MKPs is challenging due to the nearly identical residues in their catalytic sites responsible for dephosphorylation. We have identified allosteric inhibitors for MKP5 and determined their structure in complex with these inhibitors. The goal is to elucidate the structures of MKP5 complexes with kinases using X-ray crystallography or cryo-electron microscopy. The postdoctoral associate will also collaborate with experts in NMR, molecular dynamics, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify allosteric inhibitors for other MKPs, investigate their interactions, and apply these findings to study other diseases.
Applicants must have experience in structural biology.
Interested candidates should send their CV and names of three references to:
Professor Elias Lolis
Department of Pharmacology
Yale University School of Medicine
333 Cedar Street
New Haven, CT 06520-8066
elias.lolis@yale.edu