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!
The fellow will involve in both methodology development as well as the analysis of cutting-edge genomic data, such as next-generation sequencing data, metabolomics data, and genome-wide methylation data. Many challenges exist for analyzing these new types of data, providing exciting opportunities for the development of novel statistical methods. In addition, the data are directly collected from forefront cancer-research projects at the Fred Hutchinson Cancer Research Center, ensuring high impact of the research to be conducted. The fellow will also have the opportunities to interact with leading experts in biomedical science, and to establish a broad research network for future career.
PhD in statistics/biostatistics. Solid training in both statistical theory and applications. Experience with high-dimensional statistical analysis is desired but not required. Demonstrated proficiency in statistical programming language. Good oral and written communication skills. Please include a cover letter (label with job ID 2610) and three references if interested in this position.
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