92 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Fred Hutchinson Cancer Center
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use of multiple computer systems. This is a full time position at our South Lake Union location. The schedule for this position is Monday through Friday from 8:00 am to 4:30 pm. Responsibilities
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the HIV Vaccine Trials Network supported by the NIH Division of AIDS and the Vaccine & Immunology Statistical Center (VISC), supported by the Gates Foundation we are leading major computational efforts
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patient characteristics i.e. language, culture/religious practices, physical, cognitive, emotional, pain/discomfort, socioeconomic status. Utilize tools in educating the patient on self-management
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. Strong computer skills--MS Word, Excel, Access, Adobe Acrobat and advanced knowledge of Excel required. PREFERRED QUALIFICATIONS: Clinical research-related certification preferred. Experience with Clinical
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Programs. A cover letter is required when applying to this role. Responsibilities Coordinate and participate in program activities including drills, training, outreach events, equipment upkeep Conduct
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SWOG's scientific publications process, overseeing the publication of more than 100 cancer research manuscripts and abstracts each year in peer-reviewed journals and meeting proceedings. Responsibilities
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of related experience. Background in statistical computing. Proficiency with the statistical packages used within the department/ project. PREFERRED QUALIFICATIONS: Strong programming skills
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support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence
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assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks
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in learning and applying computational approaches in a genetic model organism (Mus musculus), including researching current literature, genomics, and modeling single cell transcriptomic datasets