JOIN THE RAJPURKAR LAB
The lab directly recruits postdoctoral fellows and predoctoral researchers. Prospective PhD students apply through Harvard's AI in Medicine track. The Medical AI Bootcamp has a separate application and review process.
DIRECT LAB ROLES
Postdoc · Predoc
We look for researchers who can take responsibility for a difficult question, build the system needed to study it, and communicate the result precisely. The lab is based in Harvard Medical School's Department of Biomedical Informatics and works across clinical settings and real care workflows.
2–3 years
Lead an independent project within grounded reasoning and evaluation, clinical agents in simulated care, or procedural learning and robotic assistance.
REQUIREMENTS · PhD in computer science, machine learning, biomedical informatics, or a closely related field; a record of leading research; and strong implementation skills.
1–2 years
Work full time with the lab before doctoral training, building model-training pipelines, evaluation systems, experiments, and publications within one of the three programs.
REQUIREMENTS · Bachelor’s or master’s degree in a quantitative field; substantial programming experience; and evidence of research potential.
APPLICATION
Structured intake
Postdoctoral and predoctoral applications are submitted through a structured application form. Application materials will not be reviewed by email.
PHD STUDENTS
Harvard AIM
Prospective PhD students do not apply to the lab directly and do not need to identify a thesis lab before admission. AIM students complete rotations before choosing a lab.
BOOTCAMP
Separate program
The Medical AI Bootcamp has its own eligibility rules, application, selection process, and reviewer access. It is not an application for a postdoctoral, predoctoral, or PhD position.
EXTERNAL REQUESTS
No email intake
Three focused forms route each request to the right review process. Choose the path that best matches what you have in mind.
Partnership and gift conversations are grounded in the lab's three research programs.
01SPEAKING · MEDIA
Share the event or outlet, audience, format, deadline, and topic for keynotes, panels, grand rounds, podcasts, interviews, or expert comment.
02RESEARCH PARTNERSHIPS
The lab collaborates with industry often. Its research has been supported by Microsoft, Google, and Amazon alongside NIH R01 funding, and with Gradient Health it released ReXGradient-160K, one of the largest public chest X-ray datasets. Propose a question aligned with one of the lab's research programs, with scope, timeline, and budget context.
This is preliminary intake. Any proposal or agreement is reviewed and authorized through Harvard.
03SUPPORT OUR WORK
Gift support can advance open research, train early-career scientists, and provide the infrastructure needed to turn technical progress into clinical evidence. Philanthropy already powers signature efforts: the Biswas Family Foundation, in partnership with the Milken Institute, funds the lab's MAIDA Initiative to democratize global medical imaging data.
This form starts a conversation; it does not accept or process a gift. Contributions are coordinated through Harvard Medical School Alumni Affairs and Development.