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computer skills for accurate data collection using various hospital EMR systems (primarily EPIC systems) and willingness to learn various Data Capture systems (WebDCU, RAVE, Red-Cap) ability to work on site
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. • Expertise navigating electronic health records (e.g., EPIC) and interpreting medical terminology. • Ability to work flexible hours as required by study protocols to include on call and weekends Preferred
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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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and interpersonal skills as well as proven ability to organize work schedule, pay close attention to detail and have a commitment to accuracy and careful documentation in the project. Preferred
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environment that meets the needs of students, staff, faculty, and the communities we serve. Flexible work arrangements may include flexibility in schedule and/or work location. All UMN employees are expected
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their infants through the first five years of their lives. HBCD Study protocol tasks include recruitment and retention, scheduling study assessments, and conducting parent interview/questionnaire assessments
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organize workflow; manage multiple projects and schedules; Handle virtual and/or in-person interruptions during scheduled work hours; and proactively manage up and communicate project status supervisor and
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at Elliott Hall, and flexible scheduling, including remote work on some evenings and weekends. The Research Assistant is appointed by the MCTFR Director and reports to the COMN Site Coordinator and Principal
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. guidelines. Currently, the position will be primarily working from home. There may be occasional needs to be on campus and over time there may be a need to set a regular schedule for a few days on campus each