Post-Doctoral Research Fellow - Statistical Genetics

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

Fred Hutchinson Cancer Research Center, based in Seattle, 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!

A postdoctoral research position in statistical genetics is available at the FHCRC. The Hutchinson Center provides a challenging academic and supportive multi-disciplinary research environment.

We are seeking a recent or prospective doctoral graduate (PhD or equivalent qualification) with a background in related subject areas. This could include, but is not limited to, training in biostatistics, statistics, quantitative genetics, or a closely related field. Please note that this is NOT a laboratory-based position.

The postdoctoral fellow-research associate will work directly with James Dai, primarily on methodology development and collaborative projects in genetic association studies, including Genome-Wide Association Studies and next generation sequencing studies. The successful applicant will work to develop novel statistical methodology, and implement efficient programs in statistical methods and high-dimension computation, also carry out some data analysis relevant for large-scale genetic association and sequencing studies, to present and publish research results.

A PhD in Statistics, Biostatistics, or Quantitative Genetics is required. Candidates must have a background in Statistical Genetics or Genomics research. The position requires a highly motivated individual with excellent written and verbal communication skills
The ideal candidate will have expertise in statistical and computational methods, programming skills for the analysis of complete, high-dimensional genotype data, and evidence of proficient writing skills (i.e. publications).

To apply for this position, please CLICK HERE

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