Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. 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 value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

Applications are invited for a Post-Doctoral Research Fellow position with Drs. Wei Sun and Li Hsu in the Biostatistics Program at the Fred Hutchinson Cancer Center.

Responsibilities include developing innovative statistical and machine learning methods for spatial-omic or genomic data, identifying tumor features predictive of survival outcomes, as well as integrating multiple data sources to assess the relation between environmental risk factors and tumor subtypes. Specific areas of interest include deep learning, statistical modeling and inference, and observational data analyses. The fellow will have real data analysis experience by participating in large collaborative studies involving rich datasets on tumor germline or somatic genetic data, spatial omics, lifestyle and environmental risk factors across diverse populations.

The position will come with a very competitive postdoc-level salary with great benefits for at least two years. The environment at Fred Hutch is lively yet casual, with a strong emphasis on innovative and collaborative work. Fred Hutch is housed in a lovely campus next to Lake Union a short walk from downtown, and a convenient shuttle from the University of Washington.

Ph.D. in (bio)statistics, computer science, or related quantitative fields with strong skills in computing, data analysis, and some knowledge of biology.

Application Instructions: Applicants should send a CV, a short statement of research interests, and contact information of three referees to Drs. Wei Sun and Li Hsu.

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.

The annual base salary range for this position is from $67,728 to $150,000 and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).