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.
A Post-Doctoral Research Fellow position in large data analysis with focus on developing polygenic risk scores and multi-omics analyses in ethnically diverse populations is available with Dr. Charles Kooperberg, Ph.D., Professor and Program Head of the Biostatistics Program at Fred Hutchinson Cancer Research Center. Fred Hutch provides a challenging academic and supportive multi-disciplinary research environment.
We are seeking a recent or prospective doctoral graduate (Ph.D. or equivalent qualification) with a background in large data analysis, for example, in epidemiology, computer science, statistical genetics, population genetics, biostatistics, or related subject areas. This could include, but is not limited to, training in quantitative genetics, bioinformatics with training in quantitative science, statistical genetics, or a closely related field (please note that this is NOT a laboratory-based position).
The postdoctoral fellow will work directly with Drs. Charles Kooperberg and Ulrike Peters, Ph.D., M.P.H., Professor and Associate Director on analyzing very large-scale genetic data sets (up to 3M participants) to develop polygenic risk scores as well as sizable data sets for gene expression/RNA sequencing, methylation, and metabolomic data from ethnically and racially diverse participants as well as the dissemination of the findings and public health application. Participants from these studies are from large cohort studies as well as Biobanks with detailed electronic health record data as part of the Population Architecture using Genetics and Epidemiology (PAGE) consortium and collaborating studies. We will be covering a broad set of phenotypes, including but not limited to cardiovascular diseases, cancer, type 2 diabetes, blood traits, anthropometric traits, and intermediate biomarkers, such as lipids, glucose, insulin or inflammatory markers.
The successful applicant will work in a multidisciplinary research team supported by an advanced data management and computational infrastructure to perform data analyses, develop and/or implement novel statistical methodology, and publish research results. The incumbent will have numerous opportunities to publish first author papers and present at national meetings.