Clinical Research Data Manager — Hybrid Role

University of Cincinnati College of Medicine

Cincinnati (OH)

Hybrid

USD 65,000 - 90,000

Full time

8 days ago

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Benefits offered by this job

Tuition remission
Excellent health coverage
Retirement plans (OPERS/STRS)
Flexible work-life balance

Job summary

The University of Cincinnati College of Medicine seeks a Data Manager for the Dean's Office of Clinical Research. This role will own MUSTANG and related research systems, design data workflows, and deliver high-quality reports to support clinical research activities.

You will collaborate with multi-disciplinary teams, support budgeting and invoicing processes, and contribute to process improvements while ensuring data integrity and audit readiness.

Qualifications

  • Bachelor’s Degree in a quantitative field or related area.
  • Seven years of relevant work experience can substitute for education.
  • Three years of experience in managing large data sets and reporting data.

Responsibilities

  • Serve as primary administrator for MUSTANG clinical research system.
  • Develop and maintain data workflows across MUSTANG, CTMS, Epic, and Complion.
  • Create reports supporting clinical research activities and sponsor invoicing.
  • Collaborate with research ops, finance, compliance, and IT to improve workflows.
  • Support audit readiness through data verification and documentation.

Skills

Data management
Mustang CTMS
Epic Research
SQL
Power BI / BI tools

Education

Bachelor’s degree in quantitative field
Seven years experience in lieu of education

Tools

REDCap
Epic
Complion
Verily

Job description

The University of Cincinnati College of Medicine seeks a Data Manager for the Dean's Office of Clinical Research. This role will own MUSTANG and related research systems, design data workflows, and deliver high-quality reports to support clinical research activities.

You will collaborate with multi-disciplinary teams, support budgeting and invoicing processes, and contribute to process improvements while ensuring data integrity and audit readiness.

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