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Opportunity: Post-Doctoral Research Fellow -- Patient Genomics Data Visualization @ Fred Hutchinson Cancer Research Center -- Seattle, WA (US)
Submitted by Alysha Duran; posted on Thursday, January 14, 2016
BACKGROUND
Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch's pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer with minimal side effects. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation's first and largest cancer prevention research program, as well as the clinical coordinating center of the Women's Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.
RESPONSIBILITIES
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-affects-cancer-treatment.html, 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.
REQUIREMENTS
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.
COMPENSATION
Depending on Experience
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