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- Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI
Description
Harvard University| Title | Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI |
|---|---|
| School | Harvard T.H. Chan School of Public Health |
| Department/Area | Biostatistics |
| Position Description | The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral fellow will contribute to projects focused on:
Our group actively collaborates with large national and international initiatives, including Mass General Brigham, Penn Medicine, Cambridge Health Alliance, PsycheMERGE Network, PCORnet, and OHDSI, providing unique opportunities to work with massive EHR-genomic datasets and multi-site real-world evidence networks. |
| Basic Qualifications |
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| Additional Qualifications | |
| Special Instructions | The position is available immediately. The initial appointment is for one year, renewable based on performance and funding. Salary and benefits follow NIH and Harvard guidelines. Interested applicants should submit a CV, cover letter, and contact information for three references to Dr. Rui Duan (rduan@hsph.harvard.edu). Review of applications will begin immediately and continue until the position is filled. |
| Contact Information | Rui Duan, Associate Professor, Department of Biostatistics |
| Contact Email | rduan@hsph.harvard.edu |
| Salary Range | $75,000 |
| Minimum Number of References Required | 3 |
| Maximum Number of References Allowed | |
| Keywords | biostatistics; AI; biomedical informatics; statistics; genetics |
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- Curriculum Vitae
- Cover Letter
PI279088837