83 Medical-Sciences uni jobs at University of Texas MD Anderson Cancer Center in united-states
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degree in Laboratory Science or Medical Laboratory Technology OR Bachelor's degree in a related science field OR successful completion of a National Accrediting Agency for Clinical Laboratory Science
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Program Coordinator - GI Medical Oncology MISSION STATEMENT The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through
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: Medical degree or PhD in one of the natural sciences or related field. EXPERIENCE Required: Six years experience in experimental or scientific work. With PhD or Medical degree, three years experience in
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mechanisms of cell-cell interaction. We have excellent track record in highly collaborative and interdisciplinary research in cancer biology, immunology, and computational biology, with major papers as follows
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Data position is to provide administrative and technical services for the coordination of research studies for the Department of Gastrointestinal Medical Oncology. Develops and maintains system
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of the analyses including original data, with conclusions. Assists in gathering information for in depth medical knowledge of GI cancer biology, human immunology, molecular biology and bioinformatics for diverse
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Senior Research Data Coordinator - Thoracic Head and Neck Medical Oncology MISSION STATEMENT The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas
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to possess an unrestricted Texas medical license in good standing before onboarding. If interested in this position, please include a cover letter and curriculum vitae with your application. References
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contact regarding status and progress of selected research trials. Impacts clinical trials patients in designated protocols. Utilizes medical or clinical knowledge for supervised non-clinical patient
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background - Participate in the design and implementation of algorithms to analyze molecular data and integrate with other data sets - Systematically explore and mine multi-dimensional data to validate