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Python or R for data manipulation and analysis. Preferred Qualifications Education: Master’s degree in biomedical informatics, computer science, data science, or a related field. Education may be
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, compilation, documentation and analysis of clinical research data. Participate in periodic quality assurance audits of protocols. Assist with study budgets and contracts and assist with grant applications
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, documentation, and analysis of clinical research data. The Clinical Research Coordinator monitors participants' progress including documenting and reporting adverse events and participates in periodic quality
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) for scalable data analysis and infrastructure development. Experience in causal inference methods for observational data. Experience and working knowledge of SQL and R. Established track record in teaching and
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captures and uses data about medical students from pre-med through practice and supports daily operations and integrated data analysis for the offices of the SoM, from both custom software and third-party
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, including financial analysis, risk assessment, budget preparation and execution; oversight of purchasing, payroll, and travel; personnel administrative support and human resource management, advisor, and
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analysis of clinical research data. Monitors participants' progress including documenting and reporting adverse events. Participates in periodic quality assurance audits of protocols. This position will be
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, documentation, and analysis of clinical research data. Monitors participants' progress including documenting and reporting adverse events. Participates in periodic quality assurance audits of protocols
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, communication, and teamwork Ensure alignment of simulations with LCME standards (Elements 7.4, 7.8, and 7.9) Collaborate with faculty to develop competency-aligned simulation cases Contribute to continuous
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which includes monthly analysis of area forecasts, monitoring of compliance with the budget policies and funding source compliance, budget funding and process improvement consultation with area management