Post-Doctoral Research Fellow - Statistics/Biostatistics (Biomarker, Screening, Risk Model)

Post-Doctoral Research Fellow - Statistics/Biostatistics (Biomarker, Screening, Risk Model)

Fred Hutchinson Cancer Research Center

Seattle, WA, United States

Post-Doctoral Research Fellow – Statistics/Biostatistics (Biomarker, Screening, Risk Model)


Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.


The Biostatistics Program at the Fred Hutchinson Cancer Research Center has an open position for a Post-Doctoral Research Fellow under the supervision of Dr. Ziding Feng.

The desired candidate should have a PhD degree in biostatistics/statistics with a strong background in statistical theory and methodology and is interested in its application to biomedicine and public health. The selected candidate will closely work with faculty members in the research area of cancer risk prediction, early detection and diagnosis, and prognosis. This work will involve participation in, among others, the Early Detection Research Network, Translational Liver Cancer Consortium and the New Onset Diabetes cohort study.


The applicants must have a PhD or equivalent degree in Statistics, Biostatistics, Computer Science, Bioinformatics, or other related fields. The candidate must have solid training in statistical methods and excellent computational skills. In addition, background in biology and genetics, and excellent organization and communication skills are preferred.

In addition to a CV, please submit a cover letter, contact information and letters from three scientific references.

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Quote Reference: 12954