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fellow will work with our highly interdisciplinary research group, including scientists with expertise in epidemiology, aging, psychology, environmental health, and gut microbiome. The Fellow will
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the Nurses Health Study cohorts. · Data/Statistical Analysis. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical
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the Nurses Health Study cohorts. · Data/Statistical Analysis. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical
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engagement with key opinion leaders (KOLs) and other stakeholders, and supporting the dissemination of early clinical study results. Fellows can also expect to contribute to strategic medical planning
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of computational pediatric cancer research. They will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor
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scientific, clinical, and operational input contributing to the clinical development programs at Vertex, working on cross-functional study teams for the design, execution, and monitoring of clinical trials
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research and study execution. The fellow will develop a deep understanding of the Clinical Science function, in particular through hands-on experience and interfacing with key collaborators in the Clinical
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Cambridge, Massachusetts, School: Faculty of Arts and Sciences Position Description: Join us as a postdoctoral fellow in Professor Susan Murphy's Statistical Reinforcement Learning Group. Our
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biostatisticians on study design, data management and derivation, statistical analysis, interpretation, and scientific communication. The fellow will also have opportunities to contribute to methodological
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collaborate within CAUSALab and beyond the research group Additional Information: Per university guidelines, postdoc appointments are considered to be on-campus, full-time positions. Per university