Lead Clinical Research Data Manager

About the role

The Section of Hematology/Oncology at the University of Chicago has a strong tradition of excellence in research-based patient care and clinical discovery. It is ranked among the finest cancer programs in the country and is led by nationally and internationally renowned faculty specializing in various types of malignancies and blood disorders.

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 that require corrective actions.
• May supervise 1-2 data managers.
• Affords workload assessment, study assignment, and 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, with 3 years in clinical research.

Qualifications

• Bachelor's degree preferred.
• Advanced data management skills, including oversight of database design, complex data integration, identification of discrepancies, and implementation of quality control measures.
• 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.