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 Statistical Research Associate II (SRA) for projects within the Cancer Prevention Program that aim to identify risk factors for breast and colorectal cancer disease susceptibility and survival. Analyses will be conducted for several sizable studies such as the Women's Health Initiative (WHI), N0147, the Colon Cancer Family Registry (CCFR), and the Nurses Health Study (NHS), among others. The Research Associate will be involved in research to detect genetic loci and environmental risk factors associated with colorectal cancer survival, and identify modifiable and genetic factors that will improve quality of life and extend survival after treatment for colorectal cancer. We are seeking a master's-level statistician or biostatistician to support our team. The SRA will have an opportunity to work will several collaborators and there will be several publication opportunities.
The SRA will work with multidisciplinary research teams and directly with investigators to implement data quality control procedures, assist in determining optimum statistical study designs, perform data analyses, and support the development and implementation of statistical methods. In addition, tasks include deriving environmental data and conducting quality control analyses for GWAS and epidemiological data under the guidance of the research team. The person will prepare written summaries and table of results, document statistical analysis, and assist with manuscript preparation.
A master's degree in statistics, biostatistics or epidemiology and at least one year of relevant experience handling large data sets. Experience working with R is required. Experience with epidemiologic studies, as well as statistical and computational methods for the analysis of complex, high-dimensional genotype data, including parallel computing, is a plus. Candidates must be well organized with a proven ability to manage multiple projects at once. Strong oral and written communication skills are important.
We are a VEVRAA Federal Contractor.
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