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instructors posting on the university careers website. Application materials should be addressed to the faculty noted on the job description or to the chair of the program that you are applying to in cases
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, transcriptome sequencing, methylation assays, metabolomics, and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes
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), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute's particular strengths are in genomics, computational biology and
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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research at the intersection of cancer biology, engineering, and structural biology. Primary duties include: Perform cell and tissue culture, cell cloning, and genetic experiments Analyze data generated
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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of clinical, genetic, imaging, digital and biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular and Human Genetics Work Arrangement: Location: Houston, TX Salary Range: Per NIH Guidelines FLSA Status: Exempt Work
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graduate levels. The Department is home to world-class faculty who advance statistical, computational, and mathematical methodology across a broad range of scientific domains. Professor Claire Donnat’s