Harvard Medical School
4 days ago
Postdoctoral Fellow in Agentic AI for Healthcare Harvard Medical School in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Harvard Medical School

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About this position
Postdoctoral Fellow in Agentic AI for Healthcare at YLab, Harvard Medical School and Brigham and Women’s Hospital, jointly with Professor Joshua Lin.
The project focuses on agentic AI for healthcare, including building, evaluating, and deploying AI agents in real-world clinical, pharmacoepidemiology, and biomedical settings. Research directions include large language model agents, tool-using systems, clinical reasoning, clinical NLP, EHR phenotyping, patient trajectory modeling, multimodal medical data, real-world evidence generation, safety/alignment, and human-AI collaboration.
The fellow will join an interdisciplinary environment with access to large-scale clinical data, insurance claims, real-world EHR notes, advanced GPUs, and collaborators across Harvard Medical School, Brigham and Women’s Hospital, Mass General Brigham, Broad Institute, Harvard Data Science Initiative, and Kempner Institute.
Applicants should have, or expect to receive, a PhD in computer science, biomedical informatics, machine learning, computational health, statistics, electrical engineering, or a related field. Strong experience in LLMs, AI agents, NLP, deep learning, healthcare AI, clinical NLP, EHR data, or biomedical data science is preferred, along with strong programming and publication experience.
To apply, email your CV to [email protected] with the subject line “Postdoc Application - Agentic AI”. Applications are reviewed on a rolling basis until the position is filled.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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