Research Fellow

Imperial College London - Surgery & Cancer, Division of Cancer, Faculty of Medicine

Salary: £40,840 - £53,400 per annum, pro rata if part-time

Campus: Hammersmith (East Acton), Charing Cross (Hammersmith), St Mary’s Campus (Paddington)

The Imperial Experimental Cancer Medicine Centre (ECMC) has just been through a highly successful quinquennial review and supports the translation of our laboratory science into early clinical studies of new imaging techniques, biomarkers, surgical devices and drugs. A substantial part of this translation is facilitated by the Imperial Clinical Trials Unit for Cancer (ICTU-Ca) within the Department of Surgery and Cancer at Imperial College and the Imperial Academic Health Science Centre.

The successful candidate will provide statistical support to mainly early phase clinical trials, predominantly in cancer, within the framework of our Imperial ECMC and ICTU-Ca (Hammersmith Campus), and to also support later phase trials particularly where biomarker validation is planned; the post holder will provide a statistical advisory service for cancer researchers in the Department of Surgery and Cancer. This will include all aspects of the design, implementation, running, analysis and dissemination of results from cancer clinical trials, including biomarker and “proof of concept” studies. The post is based at Hammersmith/Charing Cross (4 days) with support from the bio-informatics hub at the Hammersmith and with support from the main Imperial Clinical Trials Unit at Stadium House (1 day a week).

The post holder will be required to work autonomously and with initiative to provide statistical support to the ECMC, and must be able to prioritise tasks and manage the workload, which will include the writing of statistical reports, analysis plans and the presentation of results in peer-reviewed journals.

Applicants must demonstrate as part of their application, how the essential criteria is met. In particular, applicants must have the following attributes: -

A PhD in statistics or medical statistics or a closely related discipline, or equivalent research, industrial or commercial experience

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 Masters degree or equivalent in Statistics, Medical Statistics or a subject with substantial high-level statistics content.

In addition, applicants must have extensive experience of using standard statistical packages, such as STATA, R and SAS and experience of working with complex data sets. Extensive experience of working independently on statistical analyses is also essential.

This post is full time (35 hours per week) or part time (minimum 21 hours per week) annually renewable over the 5 year funding period of the ECMC to 31 March 2018.

Candidates should make their application at

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Should you have any queries please contact: Professor Michael Seckl – or Professor Eric Aboagye –

Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see

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