Clinical Research Associate in Radiology
University of Cambridge Department of Radiology
United Kingdom

The Department of Radiology with its combination of scientific excellence and state-of-the-art imaging facilities is developing novel technologies in metabolic imaging as well as novel artificial intelligence (AI) based tools for image analysis. Imaging plays an increasingly important role in our translational priorities of drug development, through 'first-in-man' experimental medicine studies, with parallel studies in pre-clinical models, and in early detection. The aim of advancing imaging technologies and applications draws on Cambridge's strengths in chemistry, physics, applied mathematics and engineering, and is an important component of our clinical research programmes across a wide range of cancer types.

This clinical research position is funded by Innovative Medicines Initiative (IMI) supported through the European Commission's Horizon 2020 Framework Programme for Research and Innovation (https://ec.europa.eu/programmes/horizon2020/what-horizon-2020).

The goal of the research project is to apply artificial intelligence and machine learning to deliver a decision support system for precise coronavirus diagnosis and prognosis. Existing and new imaging and clinical data, will be used to develop and validate new AI tools for diagnosis and prognosis and integrate them into clinic.

The successful candidate will be integrated member of the Department of Radiology, Radiogenomics and Quantitative Imaging Group and the Cambridge Image Analysis (CIA) Group and as such participate in all research and research-related activities such as research projects, seminars and workshops.

Applicants should be medically qualified, have (or be eligible for) full GMC registration. Prior experience in quantitative imaging research is desirable. Candidates are expected to have the intention to follow an academic career in imaging research.

Individuals with experience in CT and CXR imaging, quantitative imaging analysis, image segmentation and texture analysis would be excellent additions to our multi-disciplinary team.

Fixed-term: The funds for this post are available for 3 years in the first instance.

This is an integrated appointment between the University and Cambridge University Hospitals NHS Foundation Trust. You will therefore also be issued with an Honorary Clinical Consultant Contract by the NHS Trust. You should be aware that if your contract with the NHS Trust is terminated your employment with the University will be terminated, and vice versa.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload a covering letter, CV and the completed additional information document in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Closing Date: 9th July 2020

Please quote reference RQ23241 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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