20 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" uni jobs at Fred Hutchinson Cancer Center
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aptitude to quickly learn new systems and applications, and able to apply technology to improve systems and processes. Superior organizational skills and must be detailed. Strong computer and word processing
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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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functional teams to build practical implementation plans integrating legacy systems with new technologies, i.e. Microsoft technology stack, PeopleSoft, cloud, SaaS, CRM and clinical systems Experienced in
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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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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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, and onboarding new team members. Help establish the network's operating structure, workflows, and collaborative tools with administrative and clinical coordinator support. Qualifications MINIMUM
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, appointment changes, onboarding, offboarding and the annual merit review process. Advise and assist faculty and managers in developing team structures, submissions of employment requisitions and personnel
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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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mouse tissue samples DNA, RNA extraction from fresh frozen or formalin fixed paraffin-embedded human tissue samples Proficient with real-time PCR technology Protein extraction, cell fractionation, western
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. The technician will be closely involved in research projects using in vivo murine models of transplantation, cancer patient-derived samples, and engineered cell therapy models combined with single cell, spatial