122 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions at Fred Hutchinson Cancer Center
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Required: Must be a graduate of an accredited Physician Assistant or Nurse Practitioner training program. Certified as a Physician Assistant or Nurse Practitioner. 1 year of ARNP or PA-C experience in
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computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary
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to manage and direct a research program as part of the overall efforts of the Thomas lab will be the core focus of this position. Responsibilities Oversee scientific project design and collaborations within
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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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on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational approaches, we will integrate
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and employees where required Able to learn computer skills in a timely manner Processes specimens including centrifugation, aliquoting, and dispensing specimens to proper lab processing and sendout
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Assurance programs and projects. Proficient in the use of computer software including LIS and EMR systems, email, and applications in a Windows-based environment. May be asked to cover alternative shifts
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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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for its immune repertoire profiling program. The individual will be responsible for a) sample selection and study design, b) experimental protocols for data generation, and c) data analysis specifically
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providing fiscal program coordination, preferably in an academic or research environment. PREFERRED QUALIFICATIONS: Strong analytic finance skills. Finance experience with Phase I-III clinical trials