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Clinical Data Manager
Worldwide Clinical Trials. Lead data management activities across multiple complex global clinical trials from start-up through study close-out .
Posted 10/7/2026full-timeRemote • United Kingdom, Spain, Poland, Romania, Croatia, ItalyMid-LevelSeniorWebsite
About the role
Key responsibilities & impact- Lead data management activities across multiple complex global clinical trials from start-up through study close-out
- Coordinate resources and priorities to ensure data management deliverables are completed on time and within budget
- Develop and maintain key trial documentation, including data management plans, database specifications, edit check specifications, CCGs, and DTAs
- Oversee user acceptance testing (UAT) activities to support accurate and reliable database functionality
- Manage external vendor reconciliation specifications and support reconciliation outputs across study data sources
- Drive data cleaning activities to maintain data quality, consistency, and readiness for analysis
- Produce and communicate study metrics to monitor progress, identify risks, and support informed decision-making
- Partner with sponsors, vendors, and internal stakeholders while representing Data Management at project and study meetings
- Support continuous improvement initiatives by contributing feedback, participating in process reviews, and helping optimise data management practices
Requirements
What you’ll need- Bachelor’s degree or higher in biomedical sciences, life sciences, computer science, or a related discipline, or equivalent relevant experience
- Minimum 3 years of experience in clinical data management or a related role within the pharmaceutical, biotechnology, or medical device industries
- Proficiency in English
- Strong working knowledge of clinical data management best practices and technologies used in clinical trials
- Solid understanding of clinical trial processes and key study documents, including protocols, CRFs, statistical analysis plans, and study reports
- Excellent attention to detail and commitment to data quality
- Strong analytical and problem-solving skills
- Excellent written, verbal, interpersonal, and cross-functional collaboration skills across global teams