Clinical Data Manager
Listed on 2026-08-09
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IT/Tech
Data Analyst, Data Scientist, Information Security & Data Protection
Job title: Clinical Data Manager
Department: Data Management
Reporting to: Data Management Lead
People Manager? No
Location: Hybrid, ideally with 2-3 days per week from our Bottisham office and the remainder can be worked from home if preferred
Contract: Permanent
Working pattern: Full time – 37.5 hours per week to be worked Monday to Friday.
Salary: £40,000 to £48,000, depending on experience £40,000 to £48,000, depending on experience
Who are Cambridge Cognition and what do we do?We are a talented global team based in the UK, Canada and USA. Backed by over 30 years of scientific discovery and validation, Cambridge Cognition offers the end-to-end platform for CNS clinical trials. Our technologies are reliable in-clinic or at home for an improved patient experience and accelerated drug development.
We aim to make an extraordinary impact by improving the health of people worldwide with innovative assessments and digital biomarkers that provide researchers with precise measures of patients’ symptoms. We lead in CNS research and are broadening our impact across therapeutic areas.
Are you interested in working for a company whose main goal is to make a difference to the health of current and future generations, through the knowledge and experience of our passionate team?
RoleSummary:
We're looking for a Data Manager to take ownership of data management activities across a portfolio of clinical studies, from start-up through to database lock and final transfer. You'll work at the point where clinical data quality meets client relationships, and you'll be expected to question how things are currently done, not just execute the existing process. This is a role for someone who treats data integrity as a craft, not a checklist, and who's motivated by the fact that the numbers you clean and reconcile ultimately support real regulatory and clinical decisions.
What you’ll be doing :- Coordinate data management activities for assigned studies, from kick-off through to database lock and final data transfer, owning the outcome, not just the task list
- Act as the primary DM point of contact for clients, building relationships based on transparency and trust rather than simply reporting status
- Develop and maintain Data Management Plans, Data Transfer Agreements, and associated GCP documentation, looking for opportunities to improve clarity and rigour rather than reusing templates by default
- Perform data cleaning, query management, and reconciliation, treating discrepancies as something to understand and resolve at the root, not just close out
- Set up, test, and manage data transfers; develop production data transfer code and QC processes, staying alert to smarter or more reliable ways of doing this as tools and practice evolve
- Build and maintain custom client reports and data extracts using ETL tools, asking what would genuinely add value for the client, not just what's been asked for
- Provide estimates of time and cost for DM deliverables, and manage timelines against SLAs, communicating openly and early when priorities or risks shift
- Review study priorities regularly, escalating early and constructively when something needs to change rather than waiting for it to become a problem
- Support audits and regulatory inspections by explaining our end-to-end DM process clearly and standing behind the reasoning, not just the paperwork
- Actively challenge existing SOPs and work instructions where they're no longer fit for purpose, and share what you learn with the wider team so improvements don't stay siloed with you
- Work closely with clinical scientists, statisticians, project managers, and third-party clients, valuing their expertise and adjusting your approach based on what actually helps the study, not just your own workflow
You’ll join a data management team that works closely with clinical scientists, statisticians, and project managers, as well as directly with clients and third-party sponsors. We rely on people flagging problems early, sharing knowledge openly rather than guarding it, and holding each other to account when a deliverable affects someone else's timeline. If you've got a better way of doing something, we want to…
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