106 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Fred Hutchinson Cancer Center
Sort by
Refine Your Search
-
Overview Clinical Assistant, Clinical Associate or Clinical Professor, Palliative Care, on the Full Time Clinical Faculty pathway with an approximate 80:20 contribution to clinical service and academic
-
, assembling and mailing welcome packets, disseminating pre- and post- surveys, and assisting with post-program evaluation report. The role will also support routine administrative tasks for the PACE, LabLaunch
-
of human biology and the complex problems of neoplasia and other human diseases. The division is structured to foster laboratory-based and computational research at the interface of basic, clinical and
-
Acts as a liaison between patients/families and health care providers. Qualifications Required Completion of a medical assistant program offered by a school accredited by the Accrediting Bureau of Health
-
) Executive Assistant II to assist with providing key administrative support to the Senior Vice President of Education and Associate Vice President of Science Education, and the Office of Education and Training
-
; Immunology and Vaccine Development; and Infectious Disease Sciences. The Program Operations Director (POD) for the Immunology and Vaccine Development (IVD) Program provides oversight and direction for a
-
medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (22 days per
-
(IVD), Immunology & Vaccine Development (IVD), and Infectious Disease Sciences (IDS). The IVD Program oversees a comprehensive and complex array of program activities for 13 Principal Investigators
-
. Qualifications Required: Completion of a medical assistant program offered by a school accredited by the Accrediting Bureau of Health Education Schools (ABHES) or a program accredited by the Commission
-
Science at Fred Hutch Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential