Data Manager, COM Dean's Office of Clinical Research

Job Overview

As one of the oldest medical schools in the country, the University of Cincinnati College of Medicine (COM) has a reputation for training best-in-class health care professionals and developing cutting-edge procedures and research that improves the health and clinical care of patients. In partnership with the UC Health academic healthcare system and Cincinnati Children’s Hospital Medical Center, College of Medicine’s faculty are transforming the world of medicine every day.

The Office of Clinical Research (OCR), a centralized department that works with the UC and UC Health research community, is seeking to fill a full-time Data Manager position in the College of Medicine.

Essential Functions

• Serve as primary administrator and subject matter expert for the MUSTANG clinical research intake and tracking system.
• Manage and support CTMS digitization, study onboarding, and system whitelisting activities.
• Collaborate with stakeholders to identify, design, test, and implement enhancements to MUSTANG and other research systems.
• Develop, maintain, and optimize data workflows across multiple clinical research systems, including MUSTANG, CTMS, Epic, and Complion.
• Perform routine and ad hoc data reconciliation activities between research systems to ensure data completeness, accuracy, and consistency.
• Monitor data quality and identify discrepancies across systems; investigate, resolve, and document issues as appropriate.
• Develop, maintain, and distribute operational, financial, and performance reports to support clinical research activities.
• Support fast-track invoicing processes through reporting, data validation, and related follow-up.
• Develop and maintain reports and processes supporting sponsor invoicing and financial reconciliation activities, including Complion-related workflows.
• Assist with Epic research configuration activities, including research billing components, billing calendars, and other research-related system enhancements.
• Collaborate with research operations, finance, compliance, and information technology teams to improve workflows, reporting capabilities, and system functionality.
• Identify opportunities for process improvement, automation, and system optimization to increase operational efficiency and data integrity.
• Develop and maintain standard operating procedures, job aids, and system documentation related to research data management and reporting.
• Provide training, onboarding, and ongoing support to users of MUSTANG and related research systems.
• Participate in testing, validation, and implementation activities for new technologies, system upgrades, and process improvements.
• Support audit readiness efforts through data verification, reporting, and documentation activities.
• Perform related duties based on departmental need. This job description can be changed at any time.

Required Education

• Bachelor’s Degree in a quantitative field such as Engineering, Statistics, Math, Computer Science or related field.
• Seven (7) years of relevant work experience and/or other specialized training can be used in lieu of education requirement.

Required Experience

• Three (3) years of experience in managing large data sets, analyzing statistical techniques and software, and reporting data in a meaningful format.

Additional Qualifications Considered

• Experience building and managing REDCap databases, instruments, and reports.
• Knowledge of clinical research operations and study startup processes.
• Experience with Epic Research and research billing workflows.
• Relevant Epic certification, accreditation, or demonstrated Epic research experience is ideal.
• Advanced proficiency in Microsoft Excel, including lookup functions, pivot tables, complex formulas, and data analysis.
• Experience developing dashboards and reports using business intelligence and reporting tools.
• Familiarity with SQL, SAP reporting tools, Looker, Power BI, Tableau, or similar analytics platforms.
• Experience working with CTMS, REDCap, Epic, Complion, Verily, or other clinical research systems.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.
• Strong attention to detail and commitment to data quality and data governance principles.
• Ability to manage multiple projects, priorities, and deadlines in a fast-paced environment.
• Master's degree in Informatics, Data Analytics, Information Systems, Public Health, or related field is ideal.

Physical Requirements/Work Environment