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work has been published in high-profile journals including Nature, Nature Genetics, Nature Neuroscience, and others. We are currently expanding efforts to build large-scale data commons for human complex
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: Statistical Models, Time Series, Big Data and Cloud Computing, Data Engineering, Leadership and Consulting for Data Science, Machine Learning and Artificial Intelligence, Human Computer Interaction, Quantum
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interviews for treatment, imaging, and observational studies; working with large datasets for data entry and analysis; running MRI scans; coordinating with study sponsors; writing and/or editing manuscripts
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, programming, analysis and modeling in order to support projects. The Data Scientist/Statistician I will implement the research analyses, executing large-scale data harmonization, statistical analysis, and
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: Skilled in econometrics. Advanced coursework in economics or mathematics. Familiarity in analyzing large data sets, applying econometrics methods. Knowledge of machine learning techniques in data analysis
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, programming, analysis and modeling. Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from
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both independently and as a team member. Ability to work carefully with sensitive and confidential data. Ability to work with large, complex, and/or administrative datasets. Working Conditions
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· Introduction to Biomedical Informatics · Leadership and Innovation for Informatics · Concepts in Computer Programming · Ethics and Policy Questions: Genomics, Healthcare and Big Data
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Department PSD Data Science: Systems Administration About the Department The Data Science Institute (DSI) executes the University of Chicago’s bold, innovative vision of Data Science as a new
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research on neutrinos: both research and analysis and through detector R&D. The candidate will have extensive experience leading a group both on analysis in small groups and within a large collaboration