2,729 postdoctoral-image-processing-in-computer-science-"EPIC" uni jobs at University of Washington
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Cogito team, Analytics team, Epic Applications’ teams, Clinical Informatics, and internal UW Medicine customers to understand how to offer the best solution to each customer Persuade customers to utilize
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REQUIREMENTS Bachelor's degree in Computer Science, Health Information Systems, Math, Information Technology, Business Administration, or related field or equivalent combination of education/experience Currently
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, strategy, and activities including refreshes, updates, upgrades, and build migration relationships Provide guidance, define, and implement Epic change control processes Provide a high level of expertise in
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of technology business solutions Create ad hoc queries, data sources, and reports to support the business Collaborate with Analytics leadership to help set direction, standards, and process for a team of BI
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levels of expertise Train and mentor other team members REQUIREMENTS Bachelor’s degree in Computer Science, Health Information Systems, Math, Information Technology, Business Administration, or related
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Build (1 Year) Skills: Cellular Therapies, Clinical Research, Communication, Computer Usage, Cross-Departmental Collaboration, Epic Beacon, Epic EHR, Group Problem Solving, Microsoft Office, Multitasking
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Scheduled Hours 40 Position Summary Responsible for planning, analyzing, designing, implementing, testing, debugging, and maintaining Epic software applications. Builds collaborative relationships
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training Participating in intermediate to advanced level projects, processes, and documentation to support customer needs REQUIREMENTS Bachelor’s degree in Computer Science, Information Technology, Business
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to generate reporting requirements REQUIREMENTS Bachelor's degree in Computer Science, Health Information Systems, Math, Information Technology, Business Administration, or related field or equivalent
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informatics. The successful candidate will join a highly interdisciplinary team of informaticians, engineers, and imaging scientists to advance quantitative imaging and informatics applications in cancer