Clinical Data Programmer
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Role details
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Job description
Location: Stadium House, White City Campus / Hybrid
About the role:
Do you enjoy solving complex data challenges and using technology to improve the delivery of clinical trials? We are looking for an experienced data programmer who can take ownership of data management activities, work autonomously, and act as a trusted expert to trial teams. The ideal candidate will bring a blend of clinical data management experience and strong technical capability in Python, SQL, electronic data capture systems, and API integration to drive efficient, high-quality trial delivery.
What you would be doing:
You will:
- Support data management activities across the full trial lifecycle for assigned studies.
- Use and develop expertise in the unit’s EDC systems (currently OpenClinica and REDCap) to support complex clinical trials.
- Develop and maintain scripts for data validation, quality control, and the production of reports, listings, and metrics that support trial conduct, monitoring, and oversight.
- Collaborate with trial teams to plan and deliver data management activities, ensuring key timelines and milestones are met.
- Support compliance with Good Clinical Practice (GCP) and data protection requirements.
What we are looking for:
You will have:
- A strong interest in data management and its role in improving the quality, efficiency, and impact of clinical trials.
- A Bachelor’s degree (or equivalent experience) in computing, health informatics, data science, or a related field.
- Experience using clinical data management systems and electronic data capture (EDC) platforms in clinical trials.
- The ability to communicate technical and data management concepts clearly to non-technical colleagues, through participation in meetings at all levels.
See the Job Description and Person Specification for more details.
What we can offer you:
- A friendly and supportive team
- The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
- Benefit from a sector-leading salary and remuneration package (including 41 days’ annual leave and generous pension schemes).
- Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.
- Interest-free season ticket loan schemes for travel.
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further Information
This is a full-time post (35 hours per week) for 12 months in the first instance.
If you require any further details about the role, please contact: Kenan Direk - kenan.direk@imperial.ac.uk
£46,614 to £56,345 per annum
Requirements
- A strong interest in data management and its role in improving the quality, efficiency, and impact of clinical trials.
- A Bachelor’s degree (or equivalent experience) in computing, health informatics, data science, or a related field.
- Experience using clinical data management systems and electronic data capture (EDC) platforms in clinical trials.
- The ability to communicate technical and data management concepts clearly to non-technical colleagues, through participation in meetings at all levels.
Benefits & conditions
- The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
- Benefit from a sector-leading salary and remuneration package (including 41 days’ annual leave and generous pension schemes).
- Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.
- Interest-free season ticket loan schemes for travel.
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
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