Lead Clinical Research Data Manager

Department

BSD MED
- Hematology and Oncology
- Clinical Research Data Managers

The Section of Hematology/Oncology has a proud and long tradition of excellence in research-based patient care and clinical discovery. Ranked among the finest cancer programs in the country, the Section is comprised of nationally and internationally known faculty with expertise in all major types of malignancies, blood disorders, and experimental therapies.

The Lead Clinical Research Data Manager will perform a variety of data management duties of a complex and technical nature in support of clinical research studies conducted by principal investigators (PIs) for the clinical research program to ensure adherence to protocols and quality of information received.

• 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 a high degree of 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, while identifying operational trends that require corrective actions.
• May supervise 1‑2 data managers. Assesses and balances workload, assigns studies, and provides feedback on performance. Leads recruitment for new positions.
• Performs other related work as needed.

• Education: Minimum requirements include a college or university degree in related field.
• Work Experience: Minimum requirements include knowledge and skills developed through 5‑7 years of work experience in a related job discipline.

• Education: Bachelor's degree.
• Experience: 5 years of research experience with 3 years in clinical research.
• Technical Skills or Knowledge:
  • 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 Red Cap.
• Preferred
  
  Competencies:
  
  
  • Strong analytical skills.
  • Handle competing demands with diplomacy and enthusiasm.
  • Strong data management skills.
  • Work collaboratively and with divisional research offices.
  • Maintain a high degree of confidentiality with clinical data and client's proprietary data.
  • Adapt to changing working situations and work assignments.
  • Work independently and as part of a team.
  • Strong attention to detail.
  • Excellent multi-tasking skills.

• Resume/CV (required)
• Cover Letter (required)

Yes. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case‑by‑case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.