HMS - Postdoctoral Fellow in Biomedical Informatics; Patel Lab

HMS - Postdoctoral Fellow in Biomedical Informatics (Patel Lab)

Title:

HMS - Postdoctoral Fellow in Biomedical Informatics (Patel Lab)

School:
Harvard Medical School

The successful candidate will work with Chirag Patel’s group to produce highly impactful biomedical informatics research that introduces new innovations in methods and novel findings that inform disease etiology. The candidate should focus on multi‑omic integration analytics, machine learning, and/or AI.

Conduct large‑scale analyses of health‑related datasets; develop novel methods for multi‑omic integration; apply machine learning and AI techniques; apply for fellowship funding; contribute to writing grants and manuscripts; participate in teaching and mentoring of lab members; support overall lab operations and collaborative environment.

Ph.D. or M.D./Ph.D. in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field; demonstrated expertise in large‑scale analysis and familiarity with health‑related datasets.

Experience in multi‑omic integration, machine learning or AI is strongly desired.

This one‑year term position is salaried and benefits eligible. Salary is based on years post‑Ph.D. and follows Harvard guidelines ((Use the "Apply for this Job" box below).). With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for collective bargaining purposes.

This is a one‑year term position from the date of hire, with the possibility of extension contingent upon work performance, business need, and continued funding.

Nichole Parker
10 Shattuck St
Boston, MA 02115
Email: (email undisclosed)

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. Harvard’s equal employment opportunity policy prohibits 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.