116 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Fred Hutchinson Cancer Center
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, and breakdown for all Fred Hutch Clinics, on paper and in electronic formats. Responds to requests for charts and patient information from providers, clinics, and facilities as needed and in accordance
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The clinical research Data Coordinator II supports oncology clinical trials conducted at the Fred
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bioinformatician provides specialized consulting and data analysis support to researchers
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teaching when patient is leaving the Acute Transplant Program Support for Research: Acts as patient advocate in coordination of research consent forms Assists in obtaining research data in conjunction with
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proliferation using data generated by manual counts and the Incucyte software in Shared Resources, prepare figures and data summaries. Qualifications MINIMUM QUALIFICATIONS: Enrolled in a college level program
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be responsible for performing and coordinating the assays with other technicians and analyzing the data. They will interpret and report on experimental results and assist with data presentation
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discoveries and treatment options for patients with rare and understudied cancers. We work closely with scientists, clinicians, patients, and advocates to drive data-sharing, drug repurposing, and innovative
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viewpoint. Demonstrates good customer relations skills. Demonstrated leadership skills. Proficiency in use of standard office computer software programs, equipment and clinical information systems. Preferred
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publication of results by proofreading, editing, and contributing ideas. May perform statistical analyses, write computer programs, or manage research database. Assist in general lab maintenance and tasks
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questions in biomedical sciences and abundant information in big genomic and health related data. On the statistical methodology side, our example interests include association measures, high-dimensional