805 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" uni jobs at Duke University
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Required
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comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https
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. Work Arrangement - This position has the option to be 100% remote. Candidates must reside in one of the approved states for remote work, which can be viewed here: https://remotework.duke.edu/policy
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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laundering. For more information about the QFC program in MIDS at Duke University, please see https://datascience.duke.edu/academics/electives/quantitative-finance/ Applications can be submitted online
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at Duke University, please see https://datascience.duke.edu/academics/electives/quantitative-finance/ Applications can be submitted online at https://academicjobsonline.org/ajo . No paper applications will
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more at: https://hr.duke.edu/benefits/ DEPARTMENTAL PREFERENCES Master’s degree preferred. CPA is a plus. MINIMUM QUALIFICATIONS Education/Training - Bachelor’s degree in analytics, statistics
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team members. Learn more at: https://hr.duke.edu/benefits/ DEPARTMENTAL PREFERENCES Financial experience in a complex academic medical center or higher education is preferred. Experience with Duke
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, and code libraries to streamline clinical data workflows and ensure consistency across studies. · Use SAS and other analytical tools (e.g., R, Python) to build custom reports and visualizations