92 parallel-and-distributed-computing-"UNIS" positions at Fred Hutchinson Cancer Center
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, preceptor and certification. Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, and paid sick leave (1 hour for every 30 hours worked
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. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation
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, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays
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accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per
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health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite
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, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays
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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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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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complete) a Ph.D. or equivalent in Statistics, Biostatistics, or a similar quantitative field prior to their appointment. The candidate should have solid training in statistical methods and computational
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. Qualifications MINIMUM QUALIFICATIONS: Ph.D. or M.D. in biology; biochemistry; genetics; molecular biology; cell biology; immunology or related field. Expertise in computational biology. Demonstrated proficiency