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Field
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. Expertise in research design and data analysis, including any of the following: clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, big data
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experience / training. Basic skills to analyze and research information and learn to synthesize large amounts of data with exquisite attention to detail. Basic program and project management skills. Ability
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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: clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, big data analysis. Demonstrated track record engaging in fieldwork, involving meeting
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, Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 6 days ago
the evaluation of MDD of topical drug products. You will initially familiarize with FDA’s IT system and take relevant courses and trainings related to clinical trials. Later, you will learn FDA’s Elsa, a large
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets
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with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of the role will focus on supporting a
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of claims data and related large administrative datasets to support policy-relevant research related to mental health and addiction services utilization and quality of care. Experience working with Medicaid