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Javascript, html and CSS CSC 379 Algorithm Analysis Modes of Work Hybrid The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion
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and algorithms, data sources, and reporting processes Work collaboratively to support physician and staff training of Tableau and data analysis best practices Data Science Utilize R and Python
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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-learning and/or large language model methods, visualization and algorithms to analyze various genomics data (multiplexing imaging, spatial transcriptomics, spatial metabolomics etc) or EHR data for precision
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Charge Master data in nThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking and other rate setting tools
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accordance with placement guidelines, fill algorithms and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Scientific data collection and analysis Algorithm development, codes maintenance and data management Assistance in
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IRB. Assist in drafting study protocol, consent form and manual of operations Develop and apply screening algorithms, pre-screen through MiChart (EPIC) or Data Direct Recruitment for observational
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optimization. This includes understanding resident clinical education, algorithms to employ for modifications, and communication with appropriate individuals Oversee the administrative management of the Resident