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Open Postdoctoral position, faculty mentor Summer Han

Important Info

Faculty Sponsor (Last, First Name): 
Han, Summer
Stanford Departments and Centers: 
Biomedical Informatics
Epidemiology and Population Health
Biomedical Data Sciences
Postdoc Appointment Term: 
2 years (can be extended)
Appointment Start Date: 
July, 1, 2023 or later
How to Submit Application Materials: 

Please email the required application materials to:
Summer Han, Ph.D. (
Associate Professor of Medicine, Neurosurgery, and Epidemiology Quantitative Sciences Unit
Stanford Center for Biomedical Informatics Research (BMIR) Stanford University School of Medicine

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
Over $70,000

Cancer screening, dynamic risk prediction, causal inference, and health policy modeling 
Applications are invited for a postdoctoral fellow position in cancer research to join Dr. Summer Han’s research group in the Stanford Center for Biomedical Informatics Research at Stanford University. This position emphasizes (i) applying novel causal inference methods for analyzing large observational data from electronic health records (EHRs) or administrative claims data (e.g., Medicare) and (ii) evaluating various cancer screening strategies by developing microsimulation models for decision-making in health policy.
Specific areas of interest include but are not limited to (1) cancer screening modeling, (2) microsimulation, (3) decision analysis/health policy modeling, (4) survival data under competing risks, (5) dynamic risk prediction modeling (e.g., landmark model), (6) data integration (EHRs and cancer registries), (7) cost-effectiveness analysis.

Required Qualifications: 
  • We seek an individual with solid statistical and computing backgrounds
  • Successful applicants should have a strong background in biostatistics and cancer epidemiology
  • Ph.D. degree in biostatistics, epidemiology (with strong computation skills), or related fields
  • Hands-on experience in algorithmic implementation and statistical programming
  • Strong programming skill in R is required, and experience in SQL or other databases would be welcome
Required Application Materials: 
  • A cover letter
  • CV
  • A short description of research interests
  • Contact information of three referees


Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.