Research Fellow - 1 in Machine Learning / Deep Learning, 2 Geriatric /Causal Inference Development in Boston, MA for Div. Pharmacoepidemiology & Pharmacoeconomics, Brigham & women's Hospital / Harvard Medical School
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Research Fellow - 1 in Machine Learning / Deep Learning, 2 Geriatric /Causal Inference Development
Div. Pharmacoepidemiology & Pharmacoeconomics, Brigham & women's Hospital / Harvard Medical School
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About Div. Pharmacoepidemiology & Pharmacoeconomics, Brigham & women's Hospital / Harvard Medical School
The Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital and Harvard Medical School was created to facilitate a wide range of activities related to the use and outcomes of medications. Its mission is to bring together the various specialties of medicine, epidemiology, biostatistics, health services research, and the social sciences to evaluate the effectiveness of existing and new prescription drugs in relation to their risks and costs; to study how medications are used by physicians and patients; and to develop methods to optimize prescription drug use. (A tight-knit, helpful, dedicated group of friendly people including over 20 Harvard Medical School faculty and 40 support members, including 8+ programmers.) Our mission is to innovate effective medication treatment in clinical practice through evidence generation, evidence translation, and implementation science. To do that we study the real-world effectiveness of medical products, the safety of medications and biologics, the utilization and adherence to drugs, the cost-effectiveness and affordability of medications, the regulatory science aspects of their approval and surveillance. 15 workgroups focus on these aspects across the life cycle of medications.
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