140 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Fred Hutchinson Cancer Center in United States
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patient-centric cancer treatment program. Schedule, lead and maintain minutes from regular monthly meetings that include Radiation Therapists and provide a consistent flow of information between
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& impact in a variety of dimensions including cutting edge clinical trial operations, process improvement, technology tools and data-driven decision making. This is a full-time, salaried position
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team-based solutions, including technology enhancements, and expand successful initiatives to broader CRS study teams. Define and report-out program metrics and key performance indicators for UW and FH
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analysts and engineers with testing and process development and end to end system configuration tasks. This role will have the opportunity to work partially at our campus and remotely. This is a full-time
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tumors using engineered T cells. Our focus is on using helper CD4 T cells to target immune stimulatory cells to the tumor immune microenvironment to reverse immune suppression and enable tumor rejection
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to team to promote good fiscal stewardship of resources. Ensures Fred Hutch has the latest industry standard regarding quality, technology and workflow processes for patient experience for patient care and
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contributing ideas. May perform statistical analyses, write computer programs, or manage research data base. Research Technician III: All Previous Responsibilites, Plus: Collection and processing of human and
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/human subjects, Aurora/Florence, Vestigo, Epic Willow Ambulatory Vestigo documentation Log into Vestigo program daily and complete any pharmacy tasks for their site Manage inventory of investigational
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the sciences PREFERRED QUALIFICATIONS: Undergraduate senior with life sciences major Good lab skills cell and or organism culture (bacteria, worms, fish, cell culture) Computer skills (database, statistics
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in developing and applying computational workflows to extract biological insight from large-scale, high-dimensional datasets at single-cell resolution. Working closely with research staff, postdoctoral