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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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Athletics on departmental matters and strategic and development planning. This position will have formal supervisory responsibilities for multiple employees, identified athletic programs, and additional areas
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support; wireless connectivity; a software portal; information security, risk, and compliance services; research computing; and many others. OIT’s staff members work closely with the broader university
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of research data Contribute to research manuscripts and grants, draft abstracts, methods, and results sections. Participates in the testing, migration and implementation of new software. FLSA Exempt Grade 26S
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federal reporting requirements for the collection of cancer data including the monitoring of completeness and timeliness of reporting. Manages the development of new methods to assure the efficient
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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Minimum Education and Experience: The successful candidate must have a PhD, MD, MD/PhD or equivalent doctoral degree as well as a research program with currently active federal funding addressing key
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. The ideal candidate will enhance our biostatistical core and complement or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials
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. The ideal candidate will enhance our biostatistical core and complement or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials
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or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, survival