Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI
Company:
Harvard University
Job Location:
Cambridge, Massachusetts
Category:
Statistics
Type:
Full-Time
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:
Basic Qualifications
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
Keywords
biostatistics; AI; biomedical informatics; statistics; genetics
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:
- Foundation and representation learning for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine.
- Statistical and computational genomics across diverse populations and biobanks for risk prediction, genetic discovery, and genomic medicine.
- Federated and transfer learning for distributed and privacy-preserving data integration.
- AI and Deep learning approaches to high-dimensional and multi-modal biomedical data.
- Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications.
Basic Qualifications
- Ph.D. in Statistics, Biostatistics, Computer Science, Statistical Genetics, or a related quantitative field (by the time of appointment).
- Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis.
- Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged.
- Excellent written and verbal communication skills.
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
Keywords
biostatistics; AI; biomedical informatics; statistics; genetics
