320 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Oklahoma
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operational functions of the DNP-Nurse Anesthesia Program, including academic data systems, accreditation support, clinical rotation operations, faculty recruitment, student admissions logistics, grant
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, biochemical, and histological assays (e.g., PCR, Western blotting, immunohistochemistry). Provides assistance to a research staff by collecting and analyzing data, keeping records, conducting literature and
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cross-functional teams Analyzes data to support quality control measures related to course and program offerings Recommends data-driven solutions for process improvements based on reporting and analysis
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faculty to manage large grants and programs with OUHSC central offices, prepares reports, attends meetings, and prepares financial data. Duties: Account Reconciliation. Reconciles accounts. Manages multiple
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following patients through out-patient clinical settings. Organizes and analyzes program data on a regular basis. Creates and maintains referring physician informational databases. Maintains all documentation
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patient preparation, sample collection, information gathering, patient follow-up, data collection, and medication administration. Duties: Sample Collection: Collects samples from patients including blood
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trial or research program, distributes information, acts as a clinical resource, manages data, conducts follow-up care for patients, and attends meetings pertaining to the program. Learn more about the
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to technical support tickets. Discusses directly with the customer to determine the nature of the technical issue. Connects to the customer's computer system via remote access. Travels to the customers office or
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) years of the required experience must be in a lead/supervisory/managerial role within a healthcare organization. Skills: Proficient with Math and Computer skills to include Microsoft Office Suite (Excel
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cross-functional teams Analyzes data to support quality control measures related to course and program offerings Recommends data-driven solutions for process improvements based on reporting and analysis