122 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions at Fred Hutchinson Cancer Center
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program goals. For the GI Oncology Clinical Research Program: Advise program leadership and principal investigators on protocol development and selection by assessing clinical trial feasibility. Partner
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch's Philanthropy program raises funds for cancer and related disease research, care, and
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to attain a Pharmacy Assistant License within 45 days of hire). Basic computer skills. Ability to communicate in person as well as in writing professionally and effectively. Excellent multi-tasking and
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ling live animals, and behavior analysis. Excellent communication skills are a must. Superior verbal and written communication and routine computer skills (PC/Mac) are necessary. Must be independent and
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Proven project management skills and committee experience Proficiency in basic computer skills (EMR, Word, Excel, PowerPoint, Outlook, etc.) Ability to work under pressure related to work/time deadlines
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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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. This individual will work under limited supervision of the Clinical Program Operations Director and the Clinical Research Manager and will be required to perform his/her responsibilities with a high level of
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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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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Women's Health Initiative (WHI) is a major, long-term research program designed to address
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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 approaches, we will