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Program Manager to join the team. Under the direction of the PI, Dr. Ann Hsing, this role will support, conduct, coordinate, and manage large population-based epidemiologic studies. The successful candidate
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epidemiology. Direct IRB or IACUC experience, preferably with an Association for Accreditation of Human Research Participant In addition, our preferred requirements include: Institutional Review Board
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to the globally utilized Stanford HIV Drug Resistance Database (HIVDB). Our plans: 1. Enhancing HIVDB as a resource that provides the scientific foundations for the biological, clinical, and epidemiological
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epidemiology Experience analyzing large administrative claims data (e.g. Medicare, Medicaid, MarketScan, other payer datasets, etc.) Experience working with electronic health records (EHR) Experience working
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epidemiology Experience analyzing large administrative claims data (e.g. Medicare, Medicaid, MarketScan, other payer datasets, etc.) Experience working with electronic health records (EHR) Experience working
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(e.g., epidemiology, public health) Proficient in R and/or python Expert in analytic methods for longitudinal data Proficient in working with multiple data types from multiple data sources in a single
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aging, health span, and longevity. The postdoctoral scholar would be advised by Prof. Nilàm Ram (Psychology & Communication, The Change Lab @ Stanford ), and Prof. David Rehkopf (Epidemiology and
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to join the team. Under the direction of the PI, Dr. Ann Hsing, this role will be instrumental in managing multiple large population and epidemiologic studies, including the launch of a new
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to employees. Specifics about the rewards package for this position may be discussed during the hiring process DESIRED QUALIFICATIONS: MS or PhD in Bioinformatics, Data Science, Biostatistics, Epidemiology, or a
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population and epidemiologic studies, including the launch of a new epidemiologic study focused on Asian American health (ARISE) funded by the National Heart, Lung, and Blood Institute (NHLBI) and other large