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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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child and family welfare—working at multiple scales, from individual to policy-level interventions. More than 8,000 Crown Family School graduates in the US and globally hold leadership positions in
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conversational contexts. Our lab conducts observational and experiment-based studies of language behavior in adults and children across multiple cultural and linguistic settings. The use of open source tools
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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with petabyte-scale in multiple computing environments. Trains research assistants in the use of new and existing computational tools. Acts as a point of contact for code management and data storage
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to improve software quality, testability, and fault tolerance. Manage multiple projects simultaneously, supporting faculty and postdoctoral researchers in achieving their research objectives. Collaborate with
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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: Knowledge of machine learning techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant
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date. Experience: A minimum one year of relevant research experience. Technical Skills or Knowledge: Demonstrated proficiency in R, STATA, Python, or a related software. Preferred Competencies
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and aptitude for developing advanced programming and analytic skills for working with administrative data. Strong verbal and written communication skills with the ability to synthesize multiple sources