114 postdoc-parallel-computing positions at Fred Hutchinson Cancer Center in United States
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of the Infectious Disease Sciences (IDS) Program. The position collaborates with internal and external stakeholders and partners including Principal Investigators, program, division and center staff, and sponsor
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. Effectively organize and manage time and tasks independently. Ability to communicate (verbally and in writing) in a clear and concise manner. Can use a mouse, navigate computer programs and use email in a
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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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heavy use of multiple computer systems. The role provides continuity of care by ensuring a smooth transition between care settings and by developing a trusted relationship with patients to identify and
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. Qualifications Required: Education enabling obtainment of Medical Assistant Certification Completion of a medical assistant program offered by a school accredited by the Accrediting Bureau of Health Education
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heavy use of multiple computer systems. The role provides continuity of care by ensuring a smooth transition between care settings and by developing a trusted relationship with patients to identify and
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-specific or program data acquisition forms Partner with research coordinator and/or sponsor representatives to review and correct data recorded in the case report forms Request medical records from outside
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income
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Draws as directed Customer Service Acts as a liaison between patients/families and health care providers. Qualifications Required: Completion of a medical assistant program offered by a school accredited
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Li, operates at the intersection of statistics and biology to drive cutting-edge biomedical research. The JSB Lab focuses on developing statistical and computational methods motivated by important