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.
At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.
Dr. Fei Gao is seeking a Post Doctoral Research Fellow in the department of Biostatistics, Bioinformatics and Epidemiology in the Vaccine and Infectious Disease Division.
We are seeking a recent or prospective doctoral graduate (Ph.D. or equivalent qualification) with strong training in biostatistics or statistics. The postdoctoral fellow-research associate will work directly with Dr. Fei Gao, and will conduct research on statistical methods for treatment efficacy evaluation for active-controlled HIV prevention trials. The work will consist of methodological development, statistical programming and simulation, and application of methods for data analysis. The products of the research will be academic presentations and peer-reviewed publications led by the post-doctoral fellow.
A Ph.D. in statistics or biostatistics, or equivalent degree is required. Candidates must have a strong methodology background and excellent communication skills (verbal written and presentation). Previous experience with clinical trials, survival analysis, or causal inference is preferred.