Lead Clinical Research Data Manager
Biological Sciences Division at the University of Chicago · Chicago, IL · 2 days ago
HybridAnalyst$65k–$80k/yrFull-time
About the role
The Section of Hematology/Oncology at the University of Chicago is renowned for its excellence in research-based patient care and clinical discovery. This department houses nationally and internationally recognized faculty specializing in various types of malignancies, blood disorders, and experimental therapies.
Responsibilities
- Leads and oversees all data management tasks in support of high-complexity clinical research studies with no oversight.
- Manages document collection and review in collaboration with the principal investigator (PI) while maintaining confidentiality.
- Directs quality assurance reviews conducted by study sponsors, federal agencies, or specially designated internal review groups.
- Oversees study-related documentation for analysis, such as protocol worksheets, adverse event reports, institutional review board documents, or progress reports, identifying operational trends requiring corrective actions.
- May supervise 1-2 data managers.
- Affirms workload, assigns studies, and provides performance feedback.
- Leads recruitment for new positions.
- Performs other related work as needed.
Requirements
- Minimum requirements include a college or university degree in a related field.
- Minimum of 5-7 years of work experience in a related job discipline.
Qualifications
- Bachelor's degree preferred.
- 5 years of research experience with 3 years in clinical research.
- Advanced data management skills, including oversight of database design, complex data integration across multiple sources, identification of discrepancies, and implementation of quality control measures to support clinical research.
- Advanced proficiency in Microsoft Word, Excel, and Adobe Acrobat, including managing large datasets using pivot tables and complex formulas, generating automated reports, and preparing regulatory-compliant documents.
- Familiarity with common electronic data capture systems such as RAVE, Inform, and RedCap.
Skills
- Strong analytical skills.
- Diplomacy and enthusiasm in handling competing demands.
- Data management skills.
- Collaboration with divisional research offices.
- Maintaining confidentiality with clinical data and client's proprietary data.
- Adaptability to changing working situations and work assignments.
- Strong attention to detail.
- Excellent multi-tasking skills.