Post-Doctoral Research Fellow - Patient Genomics Data Visualization

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 four 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 Children's Hospital and Regional Medical Center, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference.

A Postdoctoral Research Fellow position is available immediately to work on a collaborative project between the laboratory of Eric Holland and Hamid Bolouri in the Human Biology Division of the Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA. The postdoctoral fellow will join ongoing efforts under the auspices of the Solid Tumor Translational Research Initiative (http://www.sttrcancer.org/) to develop data analysis and visualization methods for large-scale, molecularly-detailed, patient timeline data (see http://www.fredhutch.org/en/labs/hidra.html, http://www.fredhutch.org/en/news/center-news/2014/06/hidra-database-affe..., and http://oncoscape.sttrcancer.org/)

The Post-Doctoral Research Fellow will develop data analysis and visualization methods for large-scale, molecularly-detailed, patient timeline data and collaborate with an existing team of bioinformatics, software engineering, and data management system specialists.

Suitable applicants should have a recent Ph.D. degree (0 - 3 years of Post-Doctoral experience) in bioinformatics, computer science, biostatistics, or related disciplines. Candidates must have at least one 1st author publication nearing publication. Experience with manipulation and analysis of next-generation sequencing data using the R and/or Python programming languages is highly desirable.

Expertise in data visualization, machine learning and related topics would be advantageous, as would experience with JavaScript and related technologies. The proven ability to communicate clearly, concisely, and effectively in both spoken and written English is required.

If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2341931-2647-4421

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