Please email the required application materials to:
Summer Han, Ph.D. (email@example.com)
Assistant Professor of Medicine and Neurosurgery
Quantitative Sciences Unit
Stanford Center for Biomedical Informatics Research (BMIR)
Stanford University School of Medicine
Postdoctoral Fellowship in Statistical Genetics and Biostatistics at Stanford University
Applications are invited for postdoctoral fellow positions to join Dr. Summer Han’s research group in the Stanford Center for Biomedical Informatics Research at Stanford University. This position emphasizes developing and applying statistical methods for analyzing various types of cancer data that include: genome-wide association studies, metabolomic data, and cancer registry data under a large consortium setting. The projects for this position will include a newly NIH funded genome-wide association study for
second primary lung cancer based on >25000 lung cancer cases and controls, whose data have been collected from the International Lung Cancer Consortium (ILCCO)(http://ilcco.iarc.fr/).
Specific areas of interest include, but are not limited to, (1) GWAS analysis; (2) polygenic risk analysis; (3) risk prediction model; and (4) survival analysis using GWAS. We seek an individual with strong statistical and computing backgrounds. Experience with statistical and computational approaches for big data (using parallel computing) and statistical genetics (e.g. developing an analysis pipeline for GWAS) is preferred. The work will involve both methodological research and collaboration with researchers.
- Successful applicants should have a strong background in statistics, biostatistics, bioinformatics, or genetic epidemiology
- Strong programming skill in R is required
- Cover letter
- Short description of research interests
- Contact information of three referees