Clinical Research Fellow

Employer: The Royal Marsden NHS Foundation Trust

Location: London

Salary: £32,398 to £37,303 Per Annum

Closing date: 12 Feb 2024

A vacancy has arisen in the department for which we are seeking to appoint a Clinical Radiology Fellow who completed Part 2B FRCR or equivalent for a Clinical Radiology Research fellowship for a fixed term basis for 6 months from January 2024 to support a Prostate Cancer UK (PCUK) Research Innovation Award: Improving diagnosis and treatment of advanced prostate cancer (APC) through better imaging with whole-body magnetic resonance imaging with diffusion weighted imaging (WBMRI).

The ideal candidate would be in their final years of training in Clinical Radiology with an interest in Radiology Research and Oncological Imaging. Candidates with CCST in Radiology would also be considered.

The post holder would be expected to become proficient in whole-body MRI reporting and participate in all research activities supporting the PCUK grant.

The post holder would be accountable to Dr Nina Tunariu (Consultant Radiologist).

Main duties of the job

Multidisciplinary manpower. The Radiology & AI Research Hub hosts data scientists, informaticians, research radiographers and radiographer AI champions, radiologist AI champions, clinical trial managers and coordinators, imaging scientists and students. The Hub work closely with key partners such as the clinical MRI research group, Integrated Pathology Unit, Biomedical Research Informatics Digital Environment (BRIDgE) teams and Data Stewards Group.
Data access and organisation. In-house expertise has created an image repository – XNAT – which has been adopted by the 7 CRUK NCITA (National Cancer Imaging Translational Accelerator) sites as the data repository platform of choice. The hub team will maintain and expand the capabilities of XNAT which is the backbone data management system for the imaging Artificial Intelligence pipeline and has provided crucial leverage in securing competitive funding. Planning and development of complimentary architectures to support our ML and radiomics pipelines are ongoing.

For more details and to apply see: