149 Statistics "National Institutes of Health" positions at The University of Chicago in us in United States
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areas related to data engineering (machine learning, statistics, databases, building data pipelines, etc.), demonstrated experience in software engineering, and, ideally, a demonstrated interest in data
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administrative datasets. Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions. Builds statistical models for a variety of
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, Political Science, Psychology and Sociology), Biological Sciences (Human Genetics, Medicine, and Public Health Sciences), the Harris School of Public Policy, and the Department of Statistics. They share
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. Build and analyze statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Supervise contributions of specialized
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: Master’s degree in economics, statistics, computer science or related field. Experience: Coursework in statistics, econometrics, data science, and computer science. Strong background in applied statistics
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of geospatial data, which includes data from a range of different sources, such as statistical agencies, municipal governments, and the proprietary datasets. Works with partners and members of the research team
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. Experience with statistical and numerical methods. Preferred Competencies Excellent interpersonal, verbal, written, and presentation skills. A broad knowledge of algorithms, programming languages, and
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. --- Certifications: --- Preferred Qualifications Education: Bachelor's degree in finance, business administration, accounting, statistics, economics, or a related field. MBA or advanced degree in finance, public
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qualifications include familiarity with Quatrics Multivariate statistics, modeling, and/or one or more computational approaches (e.g., machine learning, computerized text analysis, agent-based modeling) Experience
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principles (E4L) trainings and special events, ensuring the management team is prepared through compiling data, statistics, and other information and materials. Responsible for working with faculty/senior