Post-Doctoral Research Fellow

  • Fred Hutch Cancer Center
  • Seattle, Washington
  • Sep 21, 2022

Job Description

Fred Hutchinson Cancer Center is an independent, nonprofit, unified adult cancer care and research center that is clinically integrated with UW Medicine, a world leader in clinical care, research and learning. The first National Cancer Institute-designated cancer center in the Pacific Northwest, Fred Hutch’s global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy, and COVID-19 vaccines has confirmed our reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Based in Seattle, Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy, and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.   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 Fellow position is now open at the Fred Hutchinson Cancer Center.  Both methodologists and applied quantitative researchers are encouraged to apply. This position is based in the Biostatistics Program (Department) and SWOG Statistics and Data Management Center at the Fred Hutchinson Cancer Center.    SWOG is one of five national recognized cooperative oncology groups in the National Clinical Trials Network. The SWOG Statistics and Data Management Center (SDMC) located in Seattle Washington at Fred Hutch, provides leadership in the statistical design, data management, analysis, and reporting of NCTN clinical trials. It contributes to SWOG's overall mission to significantly improve lives through cancer clinical trials and translational research. Responsibilities The fellow will be involved in developing and/or applying cutting-edge strategies for analyzing genomic data within the context of cancer clinical trials and translational studies. The data are from important cancer trials led by the SWOG (part of the NCI’s National Clinical Trials Network) and offer exciting opportunities for generating high-impact clinical and translational findings. At the same time, many challenges exist for analyzing these data, providing exciting opportunities for the development of novel statistical and computational approaches. The fellow will also have the opportunity to interact and collaborate with leading experts in a range of disciplines and biomedical science and to establish a broad research network for future career development.   The fellow will be supervised by Dr. Michael Wu ( and will interact with other statistical and data science faculty in the program.


PhD in Biostatistics, Computer science, Bioinformatics, Statistics, or a related quantitative/computational discipline. Familiarity with genomic data and high-dimensional data; strong written/oral communication skills.    Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations. As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment.   Applicants should submit a brief cover letter, CV, diversity statement, and contact information (email & phone) for 2 references.   A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Employment Type

Regular Full-Time