We are looking for an experienced Clinical Data Manager to join our Clinical Affairs team. In this role, you will support all data management activities for clinical research studies, working collaboratively with cross‑functional teams from study design through to database closure and study close‑out.
You will play a key role in ensuring that clinical study data is collected, managed, and validated to the highest standards, in line with internal SOPs and global regulatory requirements. Your work will directly support high‑quality statistical analysis and robust clinical outcomes.
Key responsibilities
- Support end‑to‑end clinical data management activities across multiple research studies
- Review study protocols and contribute to data collection strategy and study design
- Design and develop high‑quality Case Report Forms (CRFs) aligned to protocol requirements
- Develop database specifications, edit check specifications, and Data Management Plans
- Perform User Acceptance Testing (UAT) to ensure database quality and integrity
- Conduct ongoing data review, query generation and resolution, including third‑party data reconciliation
- Identify data trends, protocol deviations, and adverse events, escalating issues appropriately
- Generate study reports and provide data insights to study teams
- Maintain accurate and compliant study documentation within the electronic Trial Master File (eTMF)
- Support monitoring activities and assist Clinical Research Associates as required
- Contribute to the development of data management SOPs, work instructions, and standards
- Train internal and external stakeholders on data management systems and processes
- Participate in project and functional meetings and support audit readiness activities
- Provide mentoring or coaching to junior data management team members where required
About you
Essential requirements:
- Degree in Mathematics, Computer Science, Life Sciences, or equivalent relevant experience
- Proven experience supporting clinical research studies within data management, analytics, or reporting
- Strong understanding of database design, data structures, and clinical trial processes
- Experience using Electronic Data Capture (EDC) systems (e.g. Medidata RAVE, Oracle Clinical, Veeva, OpenClinica, Medrio)
- Knowledge of clinical data reporting tools (e.g. JReview)
- Understanding of ICH, ISO, GCP, and GDP guidelines
- Highly organised, with the ability to manage multiple priorities simultaneously
- Strong analytical, problem‑solving, and communication skills
- Comfortable working independently and within cross‑functional, matrixed teams
- Proficient in Microsoft Office tools, including Excel, Word, PowerPoint, Visio, Outlook, and Teams
Desirable:
- Experience with adverse event (AE) coding
- Basic knowledge of SQL
- Basic understanding of SAS concepts