HMS - Postdoctoral Fellow in Biomedical Informatics; Patel Lab
Listed on 2026-06-08
-
Research/Development
Research Scientist, Postdoctoral Research Fellow
Position Description
We invite applicants for a postdoctoral fellow position in Chirag Patel’s group at Harvard Medical School in Boston, Massachusetts. The exposome is a promising and emerging modality to explain disease variation (papers in press in Nature Medicine) that impacts humans on all levels: from the single cell to populations, providing a rich substrate for novel work. We welcome applications from recent PhD graduates with experience in developing approaches to analyze large multi‑modal datasets and/or who wish to deploy the next generation of exposome AI models.
These positions come with data ready to analyze: the candidate can focus on developing research findings and writing papers from day 1.
The successful candidate will work with Chirag Patel’s group to produce highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology. The candidate should be interested in focusing on multi‑omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to overall lab operations and collaborative environment.
Salary and BenefitsThis position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at (Use the "Apply for this Job" box below)./guidelines
.
Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health‑related datasets.
Advanced computational skills are required for the role in order to develop AI approaches to study the longitudinal physiology from diverse cohort populations.
Visa sponsorship status will be determined by Harvard's discretion, including payment of any applicable fees.
Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non‑discrimination policy.
Harvard’s equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).