Qingyu Chen

The Qingyu Chen Lab in the Department of Biomedical Informatics & Data Science at Yale School of Medicine is recruiting a Postdoctoral Associate in AI in medicine . The lab’s research spans large language models , AI agents , biomedical NLP , multimodal AI , trustworthy medical AI, medical imaging AI, and real-world biomedical/clinical applications. This opportunity is best suited to candidates with a strong background in computer science , biomedical informatics , or a related field, and a demonstrated research record in AI for healthcare. The posting emphasizes solid programming and experimental skills, excellent communication, and the ability to work both independently and collaboratively. Experience with clinical data, common data models, and multiple health data modalities is especially valued. The role involves leading research projects, contributing to manuscripts and grant-related work, collaborating across technical and clinical domains, and co-mentoring trainees. The lab highlights regular mentorship, technical guidance, project leadership opportunities, and support for long-term career development. Funding is provided through Yale’s postdoctoral compensation structure, with salary determined by cumulative postdoctoral experience. The post does not list a fixed deadline, so applicants should apply as soon as possible. To apply, email [email protected] with a CV, a brief cover letter describing research interests and fit, one or two representative papers, and contact information for three references. The posting also links to the lab’s commitments/expectations page and the detailed Yale job posting for more information.