Post-Doctoral Research Fellow, PS Statistics

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

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!

A new postdoctoral position is available in Trevor Bedford's group at the Fred Hutchinson Cancer Research Center located in Seattle, WA. Research will focus on virus evolution and the immune responses elicited after infection. A primary goal is to characterize cross-immunity patterns among circulating strains and to build a genotype-to-phenotype mapping of viral sequence to antigenic phenotype. An accurate description of virus phenotype and cross-immunity would allow better targeting of vaccines to strains that elicit more cross-protective immune responses.

Previously, Dr. Bedford has developed methods to assess evolution in the human influenza virus using virus-to-serum binding assay data (hemagglutination inhibition) and viral sequence data (http://arxiv.org/abs/1304.3637). This project would extend this work to other viral systems and other data sources. Similar cross-immunity datasets are available through collaborators at the Fred Hutchinson for dengue virus and HIV. Additionally, this project seeks to extend methodology to incorporate the effects of polyclonal sera and more mechanistically incorporate virus sequence as a predictor of cross-immunity.

The ideal candidate will have a PhD and has experience with high-throughput biological data and a strong interest in computational and statistical methods development. Candidates should also have programming experience in at least one scripting language (e.g. R, Python, Perl) and/or one compiled language (Java ideal) and a proven track-record of peer reviewed publications. Candidates with PhDs from diverse backgrounds are encouraged to apply, including biology, mathematics, statistics, physics and computer science.

The position is immediately available with flexible starting dates for an approximate two year appointment with possibility of extension. The Fred Hutchinson Cancer Research Center offers competitive salaries commensurate with experience and skills, complete with benefits.

To apply please attach a cover letter that includes the names and contacts for three references and a short statement of research interests and a current CV. Please be prepared to share code samples or links to published/distributed code upon request, or include as an attachment upon application.

To apply for this position, please CLICK HERE