Statistical Research Associate I-III

Fred Hutchinson Cancer Research Center & Seattle Cancer Care Alliance
Job Location
Seattle, WA
Job Description

Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center's five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children's, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!

We are seeking a 50%-75% time Statistical Research Associate (SRA) for projects within the Biostatistics Core of the Prostate SPORE (Specialized Programs of Research Excellence) project. The Prostate SPORE is NCI funded, and consists of four institutions that have large, multi-disciplinary teams of investigators and laboratories dedicated to prostate cancer research. This SPORE aims to build a large coordinated translational prostate cancer effort spanning the Pacific Northwest.

The SRA will be a master's-level statistician or biostatistician who will support our team. The Research Associate will work with a multidisciplinary research team to implement quality control procedures, assist in determining optimum statistical study designs, and perform data analyses. Both clinical data and high-throughput genomic data (such as DNA methylation data) will be involved. The person will prepare written summaries and table of results, document statistical analysis, develop and evaluate new statistical software, and assist with manuscript preparation.

A master's degree in statistics or biostatistics. Strong programming skills and experience working with R or Bioconductor are required. Experience with statistical and computational methods for the analysis of complex, high-dimensional genomic data is a plus, as is experience with epidemiological studies. Candidates must be well organized and be able to multi-task. Strong oral and written communication skills are important.

If interested, please apply online at

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