Lead Clinical Research Data Manager

Lead Clinical Research Data Manager

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.

Job Summary

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.

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:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

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.
• Adapt 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: Research

Role Impact: Individual Contributor

Scheduled Weekly Hours: 37.5

Pay Rate Type: Salary

FLSA Status: Exempt

Pay Range: $65,000.00 - $80,000.00

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: 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.

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