127 Statistics-"University-of-Surrey--------" positions at Stanford University in Ireland-United-Kingdom
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The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University
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the CMQCC Maternal Data Center (MDC) software and other data tools such as Tableau and R/Python or Stata statistical tools/models. Experience with forecasting, trend analysis, and predictive modeling using
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The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University
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and other research staff in supporting clinical research efforts, including data management, literature review, statistical analysis, and manuscript preparation and revision. Bachelor’s degree and
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data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify
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through quarterly meetings. QUALIFICATIONS: Bachelor’s degree or combination of education and relevant experience Experience in a quantitative discipline such as economics, finance, statistics
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Transplant and Regenerative Medicine. Thisindividual will analyze large and small datasets fromnext generation sequencing platforms and perform statistical analyses as needed. This is a highlycollaborative
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human subjects’ data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and
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problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. · Create complex charts and databases, perform statistical analyses, and
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economics, finance, statistics, or engineering Quantitative master’s degree preferred Prior experience with AI & machine learning preferred Prior experience with complex litigation and legal texts preferred