Staff Scientist

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.

We are seeking a highly motivated PhD-level Staff Scientist for projects within the Biostatistics, Bioinformatics and Epidemiology Program of the Vaccine and Infectious Disease Division. This position is to play a key role in supporting research projects that focus statistical methods and application for HIV/AIDS research. S/he will work closely with the PI, Dr. Ying Qing Chen, as well as the project manager, statistical research associates, post-doctoral research fellows, data coordinator, programmers, and staff scientists that make up our multidisciplinary consortium research team.

The candidate will have exciting opportunities to determine optimal study designs and computing decisions, establish analysis pipelines and databases, and optimize efficient use of the high performance computing environment for large-scale analyses. S/he will have encouragement and support to develop knowledge and skill-sets for performing quality control and data analyses, running simulations and piloting new analytic methods, implementing relevant methods, and publishing research results.

The successful candidate will have a PhD in biostatistics or statistics. Knowledge of the analysis and design of clinical trials and observational studies, with proficiency in R programming language is required. Excellent communication and organizational skills 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.

If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2235358-2647-2621

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