37 Biology uni jobs at University of Texas MD Anderson Cancer Center in united-states-of-America
Sort by
Refine Your Search
-
Senior Data Scientist - Hematopoietic Biology & Malignancy MISSION STATEMENT The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the
-
MD Anderson's Cancer Biology department has a long history of being a leader in the field of basic and translational cancer biology research. The department emphasizes the training of students
-
The Group Leader, Drug Discovery Biology is responsible for managing and supervising aspects of drug discovery biology, including target identification and validation through advancement of drug
-
approach combines innovative cancer genetics, disruptive technologies, deep mechanistic biology, disease modeling, and pharmacology to accelerate the translation of novel discoveries into definitive clinical
-
. organoids in matrigel). 2.Utilize common molecular and cell biology skills including immunohistochemistry/immunofluorescence, RNAscope, single cell sequencing, etc., to characterize and biobank models. 3.In
-
The Yee Laboratory at MD Anderson Cancer Center focuses on research to understand human T cell biology, anti-tumor immunity, and the development of translational strategies using TCR-based cellular
-
optimize novel small molecule therapeutics. 7. Lead drug discovery biology efforts to selection of lead candidate molecules and transition into clinical development. 8. Develop and implement biomarker
-
Scientist is to plan, direct, organize, and participates in scientific research projects in cancer biology of gastro-esophageal cancers. Key Functions Plans, organizes, coordinates, directs and participates
-
creativity and novel approaches to solving scientific problems is preferred. EDUATION Required: Bachelor's degree in Biology, Biochemistry, Molecular Biology, Cell Biology, Enzymology, Pharmacology, Chemistry
-
and physicians for which MD Anderson is known. TRACTION's approach combines large scale data science, innovative cancer genetics, disruptive technologies, deep mechanistic biology, disease modeling, and