WORK WITH US
We work with students, postdocs, research engineers, health systems, philanthropic funders, industry partners, and the medical AI community.
We're looking for researchers who can drive a project from idea to top-venue publication — depth in either deep learning or clinical AI, hands-on systems sense, and the discipline to ship.
The lab sits inside Harvard Medical School's Department of Biomedical Informatics. We're embedded with clinicians, hospitals, and real clinical workflows — every paper has a path to use.
2–3 years
Lead research at the intersection of foundation models and clinical deployment. We're looking for researchers who can drive a project from idea to top-venue publication, with depth in either deep learning or clinical AI.
REQUIREMENTS · PhD in CS, ML, or related field. First-author publications at NeurIPS, ICML, ICLR, CVPR, or equivalent medical venues (Nature Medicine, NEJM AI). Strong implementation skills in PyTorch or JAX.
5 years (HMS DBMI Biomedical Informatics PhD — AIM track)
Pursue your PhD on autonomous clinical agents, evaluation infrastructure, or procedural understanding. We work across Harvard Medical School and the wider HMS ecosystem.
REQUIREMENTS · Apply through the Biomedical Informatics PhD program at HMS DBMI, Artificial Intelligence in Medicine (AIM) track. Strong undergraduate research record; programming proficiency; demonstrated interest in medical AI.
Open-ended
Build the systems and infrastructure that make our research possible — model training pipelines, evaluation harnesses, data ingestion, model deployment.
REQUIREMENTS · Strong software engineering background. Experience with ML systems at scale. Interest in medical AI applications.
We work with health systems, philanthropic funders, and industry partners on published research programs. Three engagement paths:
Restricted gifts to Harvard Medical School earmarked for the lab support graduate students, postdocs, and research infrastructure.
Sponsored research agreements with industry partners support directed research in our published areas. Results go through the peer-review process.
Joint federal-grant submissions (NIH, NSF, ARPA-H) with clinical and academic collaborators in our published research areas.
For press inquiries, including interview requests, comment on medical AI developments, and access to embargoed papers:
rajpurkar_team@hms.harvard.edu
Response time: we aim to acknowledge within 2 business days. Faster turnaround for time-sensitive inquiries with a clear deadline in the subject line.