Clinical Trials Statistician

Based within the School of Public Health at Imperial College London, ICTU works to bring together academic and trial management expertise to deliver world-class clinical trials of all phases.  Trial designs range from early stage to large confirmatory studies, with a focus currently on a number of therapeutic areas including cancer, cardiovascular and metabolic diseases, respiratory disease, emergency medicine and critical care, HIV and...

Based within the School of Public Health at Imperial College London, ICTU works to bring together academic and trial management expertise to deliver world-class clinical trials of all phases.  Trial designs range from early stage to large confirmatory studies, with a focus currently on a number of therapeutic areas including cancer, cardiovascular and metabolic diseases, respiratory disease, emergency medicine and critical care, HIV and infectious diseases. Other key areas currently being developed include surgery and ageing.

We are looking for an enthusiastic and experienced trial statistician with an interest in group sequential and adaptive trial design more generally to join our dynamic team at Imperial Clinical Trials Unit.

The role involves working on trials with adaptive elements, contributing to the design and analysis of these trials which are predominantly in child and women's health. You will work closely with a senior statistician who will in turn support you in trial work, training, and professional development.

• You must have a First degree (Class I or II) or equivalent in a subject containing a substantial coverage of statistical theory, methods and practice (at least 50% of the final year) or a taught Master’s degree or equivalent in Statistics, Medical Statistics, or a subject with substantial high-level statistics content.


• A PhD or equivalent in statistics or medical statistics is desirable, though not essential.


• Previous experience of working in clinical trials is highly desirable. Experience of using standard statistical packages, such as STATA, R or SAS, is essential for this role.

This post is a full time (35h/pw) and fixed term until 30 September 2026 in the first instance. The exact work pattern can be flexible and will be discussed at interview. The post holder will be based at Stadium House, White City campus, close to Wood Lane and White City Tube stations.

Should you have any queries please contact Leila Janani:  [email protected]