Research Associate
We are excited to announce an opportunity for a Research Associate position in data sharing and artificial intelligence of clinical imaging trials within the Department of Radiology. The Department of Radiology is an internationally renowned imaging research team.
You will play a central role in the GUIDE-IT project, a global initiative led by us collaboratively with other teams globally that is bringing together clinical and data scientists to build a comprehensive data-sharing platform for randomised medical imaging trials. This work will enhance clinical imaging data sharing, generate valuable insights into clinical effectiveness, and foster the development of AI-driven and quantitative imaging analysis tools. You will work closely with industry partners, scientists, and clinicians using state-of-the-art imaging technologies to advance quantitative AI-based characterisation and prognosis assessment of cardiovascular and and cardiothoracic diseases.
You will also contribute to internationally significant randomised imaging trials led by our group, including CAD-Man and DISCHARGE, which have resulted in high-impact publications (e.g., BMJ and New England Journal of Medicine) and thereby shaped international guidelines and advanced research in cardiovascular and cardiothoracic imaging. You will support ongoing and new multicentre imaging trials focused on improving the diagnosis, monitoring, and treatment of cardiovascular and and cardiothoracic diseases. The successful candidate will be educated to degree level, with a PhD (or equivalent) in a relevant subject area (e.g. Medicine, Computer Science, Engineering, or Mathematics). Candidates who have submitted their PhD thesis but are awaiting award are also encouraged to apply. They will have some research experience with a developing track record of publications, and a strong foundation in software development and data analysis and ideally image analysis software and quality assurance. They will also bring excellent presentation and teaching skills and be willing to take a leading role in supervising research students. If you have a passion for advanced imaging research, data sharing, and collaborative science, we would love to hear from you.
Informal enquiries, or questions relating to the application process may be directed to ClusterHR@medschl.cam.ac.uk.
Fixed-term: The funds for this post are available for 2 years in the first instance and an extension is possible based on performance and funding.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter and research publication list in the Upload section of the online application. If you upload any additional documents, which have not been requested, we will not be able to consider these as part of your application.
The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Closing date: 16 April 2025 Interviews: To be confirmed
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Applicants must have (or be close to obtaining) a PhD.
Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £34,132) moving to Research Associate (Grade 7) upon confirmation of your PhD award.
Please ensure that you upload a covering letter and CV 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.
Please quote reference RQ45601 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.