38 data-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" Postdoctoral positions at Baylor College of Medicine in United States
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Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Department of Pediatrics is seeking a Postdoctoral Associate to use data science tools and population health techniques to improve
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cognitive neuroscience across the Departments of Neurosurgery, Psychiatry, Neurology, and Neuroscience at BCM as well as the Department of Electrical and Computer Engineering and Neuroengineering Initiative
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presents data. Establishes new research protocols and procedures. Summarizes research findings and publishes results in research journals. Supervises and trains research staff and students. Performs other
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experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine typically
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include study coordination, regulatory compliance, patient recruitment, data management, and operational oversight of clinical trials. Baylor College of Medicine typically follows similar to the NIH
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research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine
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bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects that involves
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sequencing (NGS), data analysis, and the interpretation of genomic variation in health and disease. The HGSC is a recognized leader in genome sequencing and analysis, supporting major national and
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models, and/or clinical research related to thrombosis and inflammatory disease mechanisms. Analyzes and interprets experimental and clinical data. Establishes new research protocols and procedures
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cohorts with rich clinical data. Works on advanced modeling of post tuberculosis lung disease risk using approaches including generalized organoid models, and linear models and deep learning. Minimum