Lead Clinical Research Data Manager
University of Chicago
Chicago, Illinois
Contract
$65,000
OfficeManager
Department
BSD MED - Hematology and Oncology - Clinical Research Data Managers
About the Department
Job Summary
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 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.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
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 RedCap.
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.
Adaptability to changing working situations and work assignments.
Work independently and as part of a team.
Strong attention to detail.
Excellent multi-tasking skills.
Application Documents
Resume/CV (required)
Cover Letter (required)
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
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 theBenefits Guidebook.
Posting Statement
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.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
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.
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