Clinical Data Manager/Senior Clinical Data Manager

4 days ago


Crawley, United Kingdom SEC Life Sciences Full time

Clinical Data Manager / Senior Clinical Data Manager Location: UK - Hybrid (1 day/week in office). Flexible for candidates based in the South East with strong transport access. About the Opportunity Join a long‑established, mission‑driven organisation dedicated to advancing cancer research and improving patient outcomes. For over four decades, this group has supported global clinical development programmes, partnering with both emerging biotech and major industry sponsors to bring innovative oncology therapies to patients worldwide. You’ll be part of a highly skilled, science‑focused team where your work directly contributes to the development of breakthrough treatments. If you’re motivated by meaningful work, professional growth, and being surrounded by people who care about making a difference, this is for you. What You’ll Be Doing Oversee and execute end‑to‑end Clinical Data Management tasks in alignment with SOPs and ICH‑GCP. Serve as the primary Data Management contact for assigned studies. Lead study start‑up activities and coordinate timelines across cross‑functional teams. Work closely with Programming, Biostatistics, and other Data Managers to ensure data integrity and study success. Conduct UAT and system validation for EDC platforms. Develop metric‑tracking tools and review utilities using SAS/Excel (or equivalent). Perform comprehensive patient‑level data review, coding (MedDRA / WHO‑DD), and ongoing data cleaning. Provide data listings, reports, and ad‑hoc outputs to internal teams and study sponsors. Maintain all documentation in an audit‑ready state within the TMF. Support database lock activities and milestone delivery. Mentor junior team members as required. What You Bring Education & Experience Bachelor’s degree required (Master’s preferred). 3‑5+ years of Clinical Data Management experience within a CRO or pharmaceutical environment. Hands‑on EDC experience (e.g., Rave or similar). Experience with SQL or SAS is a strong advantage. Skills & Competencies Solid understanding of GCP, study protocols, CDASH and SDTM standards. Strong communication skills and the ability to collaborate effectively across teams. Highly organised, detail‑oriented, and able to manage multiple priorities. Analytical mindset with excellent problem‑solving abilities. Comfortable working both independently and within a team setting. Proficient in MS Word and Excel; familiarity with programming logic is a plus. What’s In It for You Competitive salary Generous employer pension contribution Private medical insurance Income protection & sick pay Life assurance Eyecare benefits Employee assistance programme Supportive, flexible working environment Note: Sponsorship is not available for this position. Seniority level Mid‑Senior level Employment type Full‑time Job function Science Industries Research Services #J-18808-Ljbffr


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