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Scientist to serve as a scientific leader within our research community. The Lab’s mission is to support and elevate high‑quality research by providing expertise in study design, statistical methodology, data
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protocols, manuscripts, and computational programs, while providing statistical expertise for research grant applications. This position will support a wide range of research projects across the Department
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, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related disciplines. May also include Ph.D. in Biology or Biomedical Sciences in combination with an M.S. or extensive
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neurodegeneration and more specifically on Alzheimer’s, Parkinson’s and Huntington’s disease. The Postdoctoral Associate will work with Drosophila and cellular models of these disorders using genetic, statistical
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was created to support the sustained scholarly productivity of the research group by providing expertise in applied statistical methods for cohort-based studies, and continuity in analyses as the data types and
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Surgery, Urology, Otolaryngology, and Physical Medicine & Rehabilitation by transforming complex EPIC/EMR data into actionable insights. This role develops and manages dashboards, conducts statistical and
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. Job Duties Produces summary statistics for large scale epidemiological cohorts. Conducts data analysis in R. Creates visualizations (graphs / figures) in R. Provides support in analyses of high
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background in statistics, and familiarity with large data sets such as metabolomics or epigenetic sequencing. Experience in epigenetics or gene regulation is a plus. Experience with statistical analysis tools
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investigators working with healthcare administrative and electronic health record data. The ideal candidate will have database management experience and will be skilled in using SQL, SAS, and other statistical
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Schedule: Flexible Summary The Intern/Aide will learn the fundamentals of image processing, machine learning, mouse behavior assays, basic mouse handling, tissue collection, statistics, data management, as