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, Division of Computational Biology) on research using large-scale EHR data sources, including Epic Cosmos and PEDSnet. Ideal candidates will have experience in one or more of the following areas: EHR-based
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systems to emerging AI tools -- affects physician decision-making, and to develop new measures of provider productivity. The work involves large-scale EHR data in cloud environments (Google Cloud Platform
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of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications
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Stanford University is seeking a Software Developer 1 to join the Kundaje lab in the Department of Genetics to lead and assist with large-scale software development efforts at the interface of machine
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population-level outcomes. Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims (MedPAR, Outpatient, Carrier, TAF). Develop reproducible code and
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SoM space data classification, coding, and reporting requests. Create and perform space planning scenario modeling for large SoM planning projects for existing and proposed future locations. Contribute
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Big Data
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group focused on developing creative mass spectrometry (MS)-based strategies, combined with data science, to understand mechanisms of metabolic regulation over protein function in health and disease. We
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The Department of Pediatrics, Division of Rheumatology is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction