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preparation and submissions. 20% Data Management: Manage the programming, organization, documentation, merging, cleaning, and storage of datasets. Create and document final analytic datasets. Compile and
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an inclusive, collaborative research culture. Methodological Innovation (10%): Contribute to the development of advanced analytic plans, causal methods, and data visualizations that highlight intervention
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to plan and carry out clinical trials, observational studies, and database analyses. Analyzing quantitative data using statistical software such as R or SAS and going through the code and analytics with
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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-epidemiological methodologies, claims and linked administrative data, and evaluation of controlled substance prescribing patterns and outcomes in acute and chronic pain populations. Training includes analytic skill