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medical school program and completion of Pediatrics, Family Practice or Medicine-Pediatrics Residency. Licensure Unrestricted medical license issued by NCMB. Federal and State prescriptive authority (DEA
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, Computer Science, or related field focusing on quantitative and risk analytics. Preferred graduate of a program that mixes financial theory with application in a programming environment. Equivalent work experience
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-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to withstand
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organizational skills generally acquired through completion of a bachelor's degree program. Experience – Work requires five (5) years of progressive fundraising experience in a related organization with a proven
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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program that provides organization wide transparency, consistency, coordination and collaboration of fundraiser engagement and solicitation activities. Benchmark with peer institutions and participate in
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for service as well as the provision of services. Maintain accurate and timely documentation within program database. Promote customer satisfaction related to Duke services; notify Supervisor of any issues
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Education Work requires graduation from an accredited nursing program with a BSN degree. Experience Requires a minimum of 3 years of medical-surgical hospital experience; varied experience preferred
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, computer science, public health, or related technical fields. Experience - 10+ years of progressive experience in data analytics, BI, or governance, with at least 5 years in a leadership role. Experience in full
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to achieve organizational goals (with a focus on growth-related goals) Conduct analysis to identify and recommend new program development and business opportunities Market and Data Analysis Conduct structured