Clinical Trials Data Specialist

Clinical Trials Data Specialist,
Exeter Clinical Trials Unit

This role is based on Exeter’s St Luke’s campus with the opportunity for hybrid working – with some time on campus and some from home.

This full-time post (1.0FTE) is available from January 2027 on a fixed term basis for 12 months.

This post is offered as a fixed term contract and is externally funded until 31 January 2028. 

In line with the University’s fair employment for all principles, any further funding opportunities identified will be reviewed and discussed during the contract.

The starting salary will be from £34,630 on Grade E, depending on knowledge, skills and experience.

The Exeter Clinical Trials Unit (ExeCTU) is seeking an experienced data management professional to join its Information Systems and Data Management (ISDM) team as a Clinical Trials Data Specialist. The ISDM team currently consists of 8 staff members working collaboratively together, with skills in both data management and information systems. The data specialist role acts as the lead data management contact on typically 2-3 assigned trials. They are responsible for building new studies in our electronic data capture system (REDCap), efficient data reporting, overseeing data management through the full study lifecycle, and communicating data management updates at team meetings. The data specialist should have a comprehensive understanding of data management principles to enable them to make informed decisions on their trials. The data specialist is usually supported by one or more data managers on each trial.

About You

A good understanding of data management and electronic data capture systems, strong communication and team working skills, and the ability to effectively manage deadlines will allow the ideal candidate to excel in this role. We are particularly interested in those with experience working in a UK regulated research environment and with a focus on maintaining data integrity in a Good Clinical Practice (GCP) setting.

Experience in using API integrations and ‘R’ or other similar methods to optimise data management and reporting would be beneficial.

Please ensure you read the Job Description and Person Specification for full details of this role.

Please contact insert contact Karen Boardman, [email protected]