52 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions at University of Washington in United States
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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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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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Position Details Pay Range Minimum: $78,324.00 annual Pay Range Maximum: $90,072.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu
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Scheduled Hours 40 Position Summary Performs data management and/or data analysis to support the clinical and research mission using a range of software tools. Assists in all stages of data
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Scheduled Hours 37.5 Position Summary This position supports the continuous improvement of the School through ongoing data management, data collection, analysis, and dissemination of findings
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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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computer equipment within the warehouse via hand truck and/or forklift as well as between various storage locations within the depot headquarters. Working Conditions: Job Location/Working Conditions Normal
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Scheduled Hours 40 Position Summary Focused on data entry, analysis and data projects that improve data quality and support clinical patient safety. Leads or participates in special projects related
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: $168,888.00 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
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operations. The CRM & Data Integrations Administrator supports the School’s Salesforce and EnrollmentRX platforms while strengthening the School’s broader data ecosystem through integrations, APIs, data