852 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" positions at University of Colorado
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, operational, and accounting data and conducts complex analyses of the school’s financial health. This position serves as the first point of contact for department chairs, administrators, the Dean, and the
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who will be subsequently evaluated and treated by a Maternal Fetal Medicine attending physician, preparing preliminary reports for physician review, and verifying data obtained from the sonogram. As
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. Data entry and analysis using Windows-based systems will be required. The Lorca lab is housed within the Division of Reproductive Sciences of the Department of Obstetrics and Gynecology. Our research is
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, coordinating, and implementing tracking and review processes for all SOM Research Core Facilities and for SOM Centers and Institutes; coordinating regulatory, logistical, and data management components of a
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-changing treatments, patient care and professional training and conducts world-renowned research fueled by over $650 million in research grants. For more information, visit www.cuanschutz.edu . Why work
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%) · Provide guidance and support to research teams on creating and updating study webpages on the CU Anschutz Research Studies website to ensure they are meeting the data and language requirements
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engagement metrics and recommend data-driven improvements. Coordinate logistics, budgets, vendor relationships, and compliance requirements for on- and off-campus events. Ensure alignment with University
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Scientist, Organoid Initiative Position # 00844419 – Requisition #: 38704 Job Summary: We are recruiting a Leading Scientist focused on automation, workflow engineering, and data integration. This individual
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the main point of contact with the LIS vendor for system support and maintenance. Other laboratory computer applications may be included in the scope of work as the position evolves. Key Responsibilities
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experience Preferred Qualifications Bachelor’s degree in science or health related field Three (3) years of clinical research or related experience Experience with electronic data capture systems (e.g. EMR