| Company Information:
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!
Position Title:
Post-Doctoral Research Fellow, Computational Genetics
Duties & Responsibilities:
A postdoctoral research position in statistical genetics is available in our Vaccine and Infectious Disease Division. The Hutchinson Center provides a challenging academic and supportive multi-disciplinary research environment. We are seeking a recent or prospective doctoral graduate (PhD) with a background in related subject areas that includes, but is not limited to, training in biostatistics, statistics, bioinformatics, 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 genetic association studies and to present and publish research results.
Position Qualifications:
A PhD in Biostatistics, Statistics, Bioinformatics or other scientific displine. The position requires a highly motivated individual with excellent written and verbal communication skills. Expertise in statistical and computational methods, and programming skills for the analysis of complete, high-dimensional genotype data is desirable, such as R, C++ and Bioconductor. An understanding of the biological/genetic relevance is desired, but having worked with high-dimension computation of GWAS or next generation sequencing data is especially important for success in this position.
Salary Range:
In accordance with NIH salary guidelines
Benefits:
Competitive benefits, the ability to work in a highly collaborative environment, discounted parking rates and ability to network with our student/post-doctoral research fellow advisory committee, and to make your contributions to our research efforts in the beautiful location of Seattle, Washington.
Web Site:
www.fredhutch.org
Application Address:
Please apply at http://bit.ly/17HuE2Y. We look forward to learning more about you and your interests!
Contact Email:
Application Deadline:
09/30/2013
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