126 parallel-computing-numerical-methods-"Simons-Foundation" positions at Fred Hutchinson Cancer Center
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patient outcomes. Collaborating with clinicians and statisticians to formulate hypotheses and design the appropriate statistical models to interpret data. Use computational tools (R, Python, SAS
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III to work on research projects. Work will include analysis of human samples from numerous infection and oncology cohorts. Cellular and molecular techniques will be integrated for high resolution
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amplification and analysis. A mix of experimental and computational methods will be employed with opportunities to develop advanced skills in both. Responsibilities Independently perform experiments using
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. Studies will be focused on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational
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. Studies will be focused on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational
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amplification and analysis. A mix of experimental and computational methods will be employed with opportunities to develop advanced skills in both. Responsibilities Independently perform experiments using
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to manage its efforts in immune repertoire functional profiling. The aim of this research program is the broad functional characterization of immune repertoires in human health and disease
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divisions in finding appropriate solutions for the research teams and programs. As a member of the Research Information Technology and Scientific Computing (RITSC) department, the position works closely with
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to understand cancer development and to develop new therapeutic strategies. The Fred Hutch/University of Washington Head and Neck Research Program- Fred Hutch and the University of Washington have a world-class
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Li, operates at the intersection of statistics and biology to drive cutting-edge biomedical research. The JSB Lab focuses on developing statistical and computational methods motivated by important