2,842 data "https:" "https:" "https:" "https:" "Universidade Portucalense Infante D" uni jobs at University of Washington
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Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular
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Scheduled Hours 40 Position Summary This dual role will (1) provide methodological, data management, analytic and statistical support for investigators within the Department of Emergency Medicine
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of research administration and regulation grows each day. Our mission in ORIS (Office of Research Information Services) is to reduce that administrative burden by streamlining and automating information
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Scheduled Hours 40 Position Summary Provides specialized Human Capital Management (HCM), compensation, time/absence or academic information oversight and support and addresses complex to highly
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Scheduled Hours 37.5 Position Summary The Data Quality Specialist reports to the Director of Data Quality and is a full-time position focused on data research, analysis, reporting needs, survey work
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Position Details Pay Range Minimum: $75,696.00 annual Pay Range Maximum: $120,000.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu
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Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary
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Scheduled Hours 40 Position Summary Provides data analytic and statistical support for assigned project/program. Job Description Primary Duties & Responsibilities: Develops and analyzes databases
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annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary
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Scheduled Hours 40 Position Summary Position assists investigators as a data coordinator of clinical research trials of all complexities, extracting data from the Electronic Medical Record (EMR) and