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Job Description Apply now Job Title: Postdoctoral Associate - Computational biology and Bioinformatics Division: Medicine Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,480
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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opportunity to work at the interface of cancer biology, computational biology, bioinformatics, and biostatistics, with access to state-of-the-art multi-omics technologies, patient-derived models, 3D cancer
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: $52,109 - $61,304 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Program in Population and Environmental Health Disparities in the Center for Precision Environmental Health
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Salary Range: $63,480 - $70,000 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Ethical Legal Implications of Psychedelics in Society (ELIPSIS) Program in the Center
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. Collaborates with a multidisciplinary team of basic scientists, clinicians, computational biologists. Performs other job-related duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health
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Biomedical Ethics Program are seeking applicants for the full-time clinical ethics fellowship. This competitive, 2-year program offers the opportunity to train with the Center’s nationally renowned faculty and
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from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. Job Duties Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNA-seq, whole genome
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Associate will participate in a two-year Clinical Chemistry Fellowship Training Program designed to provide advanced training in clinical chemistry and laboratory medicine. This Postdoctoral Associate will
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on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer