96 parallel-and-distributed-computing-"Meta"-"Meta" positions at Fred Hutchinson Cancer Center
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is part of the Prostate Cancer Program and is located next to the Nelson Lab (https://research.fredhutch.org/peternelson/en.html) and the Haffner lab (https://research.fredhutch.org/haffner/en.html
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Infectious Disease Sciences program at the Fred Hutchinson Cancer Center is seeking
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of education and experience. Demonstrated scientific knowledge in the area of study. Demonstrated basic laboratory skills. PREFERRED QUALIFICATIONS: Bachelor's degree in computer science or related field
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Epidemiology Program in the Public Health Sciences Division of Fred Hutch is seeking a
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complying with the laboratory QA/QC program. Is prompt for work and seeks support and guidance if needed regarding absenteeism. This is a float position that will train at our South Lake Union campus and will
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Three years of experience in pharmacy practice (months spent in the completion of an American Society of Health-System Pharmacists accredited residency training program may substitute month-for-month for
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, editing, and contributing Assist in supervising students. Collaborate with team members and report findings to PI. May write computer programs. Qualifications MINIMUM QUALIFICATIONS: Bachelor's degree in a
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financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition
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assist with ongoing laboratory studies and will help members of the research team with computational biology tasks related to data migration and organization of patient imaging data and assessment of tumor
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written and verbal communication skills, including computer skills. Excellent organizational skills, attention to detail, ability to problem solve and to prioritize multiple competing tasks in a dynamic