Medical Data Review Specialist

5 days ago


Cincinnati, Ohio, United States Medpace Full time

About the Role

We are seeking a Medical Data Review Specialist to join our Clinical Coding & Support team. This position will involve working with a team to accomplish tasks and projects that drive the company's success.

Responsibilities:

  • Comprehensive manual review of clinical data collected in trials, ensuring accuracy and quality.

  • Development of clinical review guidelines for specific therapeutic areas, providing expert knowledge and guidance.

  • Collaboration with the Data Management team to resolve queries and ensure seamless data management processes.

  • Pursuing specialization in therapeutic areas such as Cardiology, Infectious Disease, Oncology, and Endocrine, staying up-to-date with the latest developments and research.

Qualifications:

  • Bachelor of Science in Nursing and RN required, with at least 3-4 years of nursing experience.

  • 1-2 years of specific therapeutic experience, with general knowledge of clinical trial processes and/or experience working with clinical data.

  • Familiarity with Microsoft Excel is preferred, but not essential.

What We Offer:

  • A competitive salary range of $65,000 - $85,000 per year, depending on experience.

  • A dynamic and supportive work environment, with opportunities for professional growth and development.

  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.

  • Hybrid work-from-home options, allowing for flexibility and work-life balance.

  • Opportunities to work with a diverse team of professionals, driving innovation and excellence in clinical research.

About Medpace

Medpace is a full-service clinical contract research organization (CRO), providing Phase I-IV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through our scientific and disciplined approach.



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