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Clinical Data Manager

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University of Utah

Salt Lake City, UT 84132, USA

Academic Connect
5 Star Employer Ranking

Clinical Data Manager

Job Summary

Clinical Data Managers Develop data management plans that deliver accurate, timely, and consistent clinical data. Build, review, and maintain clinical databases, data collection tools, and applications. Create, review, and maintain study documentation, such as Case Report Forms (CRFs), Data Management Plans (DMP) and Data Transfer Agreements (DTAs). Contribute to protocol development and review. Compile, analyze, clean, and validate clinical trial data. Identify and resolve discrepancies and issues with clinical data. Develop data management reports and monitor study status to ensure timelines are met. Represent the data management function to key internal and external stakeholders. Work collaboratively with clinical research and operations team to ensure accurate and complete data collection.

This position is in the Utah Data Coordinating Center. Join the Utah DCC where we harness the power of collaboration, to advance science, move society, and benefit humanity. We offer opportunities to work with high functioning, cutting-edge teams that study, understand, and improve multi-site research. Bring your strong background in regulatory affairs to the Utah DCC. Autonomy, creativity, and critical thinking skills are strongly encouraged.

The Utah DCC offers a career ladder for Clinical Data Managers and provides growth and professional development opportunities.

To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC

Job Responsibilities or Essential Functions:

  • Work with cross-functional teams to implement a strategy to collect primary outcome and other critical data per study protocol
  • Issue and resolve queries with high degree of accuracy
  • Write, review, and test data validation checks using SQL or similar coding language
  • Create and maintain study documentation including Data Management Plans, user acceptance testing, and training manuals
  • Prioritize data management activities based on a risk assessment plan
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