UTS - Temporary Clinical Research Data Manager at UNC Chapel Hill (hybrid)
About The Position
The department at the University of North Carolina at Chapel Hill seeks a highly skilled Clinical Research Data Manager to support a portfolio of complex, federally funded clinical trials and longitudinal research studies. This role serves as a central data management and analytics resource across multiple studies, responsible for the design, development, validation, and oversight of research datasets and data systems. The position requires advanced expertise in clinical research data workflows, including REDCap database design, data quality assurance, and preparation of datasets for statistical analysis. The Data Manager will work closely with investigators, statisticians, and clinical research teams to ensure high-quality, reproducible data that supports regulatory compliance and rigorous scientific output.
Requirements
- Design, develop, and maintain research databases and data collection tools (e.g., REDCap)
- Ensure data integrity, quality control, and regulatory compliance across clinical research studies
- Manage data cleaning, validation, and preparation of datasets for statistical analysis
- Generate reports, dashboards, and data summaries to support investigators and research teams
- Support study start-up, implementation, and data coordination across multiple studies and sites
- Develop and maintain SOPs, documentation, and reproducible data workflows
- Collaborate with investigators, statisticians, and multidisciplinary teams to support research objectives
- Train and support research staff on data systems, tools, and best practices
Responsibilities
- Design, build, and maintain research databases (e.g., REDCap) for clinical trials and observational studies
- Develop data collection instruments, case report forms (CRFs), and data dictionaries
- Ensure data integrity through validation rules, logic checks, and quality control processes
- Oversee data cleaning, query resolution, and audit readiness
- Structure and prepare datasets for statistical analysis
- Conduct ongoing data quality assurance and quality control reviews
- Generate reports, dashboards, and data summaries for investigators and study teams
- Prepare analytic datasets and documentation to support statistical analyses
- Collaborate with statisticians on data structure, variable definitions, and analytic readiness
- Support clinical trial operations from a data perspective, including study start-up and implementation
- Develop and maintain data-related standard operating procedures (SOPs)
- Coordinate data workflows across multiple studies and sites
- Identify risks related to data quality or study execution and implement mitigation strategies
- Maintain comprehensive metadata and documentation for databases and analytic outputs
- Develop and manage reproducible workflows, including standardized code and data processes
- Ensure alignment with Good Clinical Practice (GCP) and regulatory requirements
- Support study monitoring, audits, and sponsor reporting
- Train and support research staff on data collection tools, systems, and best practices
- Serve as a subject matter resource for data management across the institute
- Collaborate with multidisciplinary teams including investigators, coordinators, and statisticians
- Contribute to manuscripts, presentations, and grant submissions through preparation of tables, figures, and data summaries
- Respond to ad hoc data requests from investigators and stakeholders
- Support onboarding of new studies from a data infrastructure perspective
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
