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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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, and financial forecasts/models for major service programs and initiatives. Utilizes knowledge of finance to help coordinate monthly, quarterly and year-end reporting for all funds in the operating
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Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and
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complex medical and social needs a physician who cares for them in both, the hospital and the clinic. The CCP model has been studied in a randomized trial since 2012 with funding from the Center
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internal data systems as well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and
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data analysis and computational cognitive modeling. The research assistant is essential to the smooth and productive functioning of the lab. There are opportunities to develop independent projects
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biology (DNA/RNA isolation, PCRs, gene expression, immunostaining, protein blotting, cell culture, developing disease models in mice, etc.). Technical Skills or Knowledge: Basic computer proficiency
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, statistical applications, programming, analysis and modeling. The Ovarian Cancer Research Lab at the University of Chicago is seeking a full-time, on-site Clinical Data Scientist/Analyst to support multiple
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techniques across multiple fields, including molecular and cellular biology such as DNA/RNA isolation, PCRs, gene expression, immunostaining, protein blotting, cell culture, and developing disease models in
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preferred. Experience: Basic computer software programming experience required. Exposure to programming languages such as Python, HTML, CSS, JavaScript required. Exposure to ML models preferred. Relevant