112 coding-"https:"-"FEMTO-ST"-"INSA-toulouse" positions at The University of Chicago
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to apply data insights to projects. Ensure data quality, security, and integrity across systems. Contribute to cross-team initiatives by embedding data-informed practices. Develop and code data dictionaries
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or an equivalent combination of position-related education and experience required. Working knowledge and familiarity with Chicago Building Code requirements relevant to craft, preferred. Technical Knowledge
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for deficiencies, potential safety, health, or code problems and necessary repairs. Prepares written reports summarizing findings, and advises other building users, or others, as appropriate, of their findings, and
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to apply data insights to projects. Ensure data quality, security, and integrity across systems. Contribute to cross-team initiatives by embedding data-informed practices. Develop and code data dictionaries
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requirements into accurate, efficient, and well-documented code Contributes to data management and analysis of experimental and quasi-experimental evaluations Cleans, merges, and matches data, and runs sampling
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. Supports with the writing of grant and policy reports and assists with drafting presentations of research findings. Takes responsibility for the following non-laboratory duties: transcribing and coding data
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, collaborate with other team members, code analytics solutions and reports, maintain existing dashboards and reports, and support the portfolio of data products provided by the UCCCC Analytics team. In
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care and preschool locations, public schools, as well as in a laboratory environment. Primary responsibilities are recruitment and scheduling of subjects, data collection, transcription and coding, and
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to priorities and risk. Drives adoption of modern delivery practices (Agile, DevOps, CI/CD, automated testing, and AI-assisted coding) to increase quality, time-to-market, and efficiency. Institutes robust vendor
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and analytic mentorship. Collaborates with study investigators to design analytic plans and interpret results. Maintains organized, reproducible code and data management workflows. Serves as the