157 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at Saint Louis University
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documents for participants in a variety of studies; develops and submits documentation and information for Institutional Review Board (IRB) review; communicates with the IRB staff and reviewers and handles
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reconciliations; develops and disseminates reports for reconciliations and compliance reviews; assists in resolutions and troubleshooting Maintains information regarding institutional, state, federal, and outside
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nature and/or require clinical research orders in EHR. Performs other duties as assigned. KNOWLEDGE, SKILLS & ABILITIES Proficiency in electronic medical records and relevant computer software. Strong
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, sexual orientation, military/veteran status, gender identity, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities
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to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed
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, and documentation related to quality and safety Data & Performance Improvement Establish and monitor key performance indicators (KPIs) and dashboards Use data analytics to drive decision-making and
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regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations
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, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed
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status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please
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for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations