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Postdoctoral Fellow in Biomedical Informatics; Cai Lab

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: St. Cloud Orthopedics
Full Time position
Listed on 2026-06-09
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below
Position: Postdoctoral Fellow in Biomedical Informatics (Cai Lab)

Title

Postdoctoral Fellow in Biomedical Informatics (Cai Lab)

School

Harvard Medical School

Department

Biomedical Informatics

Position Description

A Postdoctoral Research Fellow position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic research group focused on several synergistic goals: generating actionable Real-World Evidence (RWE) from multi-institutional Electronic Health Records (EHR), improving the generalizability of clinical evidence across diverse populations using multi-source and multi-modal data, and accelerating drug discovery by leveraging these rich, integrated datasets.

This role offers a unique opportunity to develop methodological innovations that bridge the gap between computational theory and impactful clinical application.

We are seeking a highly motivated individual with a strong statistical and machine learning background. The ideal candidate will have existing expertise in several of the following areas, aligned with our research focus:

  • causal inference, invariant learning and representation learning; distributionally robust optimization;
  • Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning;
  • federated learning and privacy preserving computing.
Basic Qualifications

Candidates must hold a Ph.D. in a quantitative field, such as statistics, biostatistics, computer science, or a related discipline. Success in this position requires strong quantitative research capabilities and demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or Tensor Flow. In addition to technical skills, the candidate must possess excellent written and oral communication abilities to effectively disseminate research findings and collaborate within a multidisciplinary team.

Contact

Information

Mo Moro

Email: vard.edu

Salary

Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at (Use the "Apply for this Job" box below)./guidelines

EEO/Non-Discrimination Commitment Statement

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.

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