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 Staff Scientist for projects within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). The NCI funded consortium is integrating somatic and germline genetics with environmental risk factors in order to identify susceptibility genes associated with colorectal cancer risk, and investigate interactions between genes and environmental factors. Analyses will be conducted for several well-characterized studies such as the Women's Health Initiative (WHI), the Nurses Health Study (NHS), and the Prostate, Lung, Ovarian, and Colorectal Cancer Screening Trial (PLCO), among others.
We are seeking a PhD-level Staff Scientist to support our team in applying statistical analyses. Work will include analyses of somatic targeted sequencing data, genome wide association study data, and harmonized epidemiologic data. The Staff Scientist will work directly with Dr. Ulrike Peters and closely with Dr. Li Hsu, as well as other members of the multidisciplinary consortium research team to determine optimum study designs and computing decisions, run simulations and pilot new statistical methods, perform quality control and data analyses, implement relevant methods, and publish research results.
The Staff Scientist will work with a team of a project manager, statistical research associates, post-doctoral research fellows, a data coordinator, and programmers on a variety of data analysis projects. In particular, she/he will facilitate appropriate implementation of statistical analyses in the team by establishing data analysis pipelines, optimizing efficient use of the computing environment for large-scale analyses, and performing quality control and statistical analyses. Experience in genetic epidemiology, particularly in statistical and epidemiological methods for the analysis of complex, high-dimensional genotype data are important qualifications for this position. In addition, the staff scientist will devote some time to grant writing, utilizing the large resources and infrastructure in GECCO.
The successful candidate will have a PhD in Biostatistics with research experience in genetic epidemiology and/or bioinformatics. Proficiency in the analysis and design of GWAS and sequencing studies, with proficiency in R programming language is required. Previous experience analyzing somatic sequence data and working with a high-performance computing environment is a plus. Excellent oral and written communication skills are required, as the work will be done within a collaborative consortium setting. Excellent organizational skills, the capacity to multi-task, and ability to work on multi-center/multi-disciplinary teams are essential.
The incumbent will be expected to work independently as well as collaborate with analysis teams to complete analysis projects and develop statistical methods related to the data analysis. In addition, he/she will participate in the presentation of research and in the writing of publications to disseminate analyses.
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