PLEASE NOTE: This vacancy is now CLOSED

Clinical Research Fellow (REF: MED01952)

Closing date: 6th September 2020

Salary  £28,243 – £49,036 (plus £2,162 London allowance pa)

Location: Department of Surgery & Cancer, Division of Cancer, Faculty
of Medicine, Hammersmith Campus

Contract Type: Full-time and fixed term for 9 months

Job Summary

This is an exciting opportunity for a Clinical Research Fellow with experience in oncology to apply their skills at the cutting edge of imaging in cancer research. You will be working on projects involving CT and PET-CT on a programme whose overall aims are to apply advanced multi-modal imaging to the study of cancer and cancer therapy. You will be employed by Imperial College and are primarily accountable to Prof. Eric Aboagye. Imperial College is already involved in world-leading translational imaging research, coordinated through the Imaging theme of the NIHR Biomedical Research Centre (BRC) led by Professor Aboagye. The post is funded by the BRC.

You will also have a close working relationship with The National Cancer Imaging Translational Accelerator (NCITA) and their Clinical Trial Unit function. Training will be provided particularly in relation to imaging aspects of the post. Occasional travel to other Imperial College London, Imperial College NHS Trust and NCITA NHS/College sites may be required. You will hold an honorary clinical contract with the appropriate NHS Trust/s and will be expected to take clinical responsibilities appropriate to their level of experience, training and expertise.

Duties and Responsibilities

The key purpose of the post is to develop and manage clinical research studies and clinical trials in cancer imaging combined with traditional blood and tissue assessment. You will work collaboratively with the research teams, the wider multidisciplinary team and act as an expert resource for staff, researchers, research participants and patients.

Essential Requirements

    • You will have a Degree in medicine or equivalent
    • You will have minimum experience equivalent to ST1 or above
    • You will be knowledgeable, curious and passionate
    • You will be able to use your initiative to pursue opportunities to broaden your skills portfolio
    • You should provide evidence of being able to work independently and as a part of a team
    • You should be comfortable working with large datasets

Further Details

To apply for the vacancy please click here.

For further details on the role please contact: Professor Aboagye (  or Dr Sue Copley (