University of Cambridge
Assistant Research Professor (Fixed Term)
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Assistant Research Professor (Grade 9): Multimodal Machine Learning for Breast Cancer Research
This is an exciting opportunity for an experienced, ambitious, talented and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute (PBCI), led by Professor Jean Abraham, and make a real impact in the fight against breast cancer.
Breast cancers comprise complex biological processes that function in compound microenvironments of malignant tumour cells. As such, incorporating and simultaneously analysing multimodal data can offer a better understanding of the underlying cancer mechanisms, ultimately leading to more accurate diagnosis, prognosis, and treatment planning for cancer patients. Breast cancer research produces complex multimodal data at different scales, including clinical, imaging (radiology and digital pathology), and genomic or transcriptomic profiles. The successful candidate will play a pivotal role in revolutionising patient care through the design, development, and application of novel machine learning methods to analyse and interpret large-scale multimodal data using samples primarily derived from large clinical trials and studies. The role will also involve working closely with renowned scientists, liaising with project teams and external science users, contributing to research publications, and collaborating with clinical experts to optimise the interpretation and use of these data.
At PBCI, we believe in fostering a collaborative and supportive work environment. We value teamwork, respect, and open communication, creating a space where ideas thrive and individuals flourish. Together, we will support and inspire one another as we work towards our shared goal of improving breast cancer treatments and outcomes. Together, we will shape the future of breast cancer research and drive impactful and rapid change.
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The successful candidate will line manage, support and develop Research Associates and PhD Students, as well as supporting computational research projects across the PBCI and collaborators within the University and Cambridge University Hospital. A such, the ability to work as part of a multi-disciplinary team and to be able to communicate to a range of audiences is required.
Join us in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies, collaborate with world-class researchers and be part of a transformative journey. Apply now and be a catalyst for change in the global fight against breast cancer.
We welcome the opportunity to have a conversation and answer any questions you may have about the position and the PBCI. Please reach out to Prof Jean Abraham (ja344@medschl.cam.ac.uk) and Dr Amy Riddell (ajr201@cam.ac.uk) to learn more about this exciting opportunity.
Fixed-term
The funds for this post are available for two years in the first instance, with the possibility of extension for one more year.
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Requirements
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check, a security check and a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application.
Application Instructions
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
- 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.
- Include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Application Deadlines
- Closing date: 27 July 2026
- Interview Date: 10th Aug to 14 Aug 2026
Please quote reference RD50384 on your application and in any correspondence about this vacancy.
Equality, Diversity and Inclusion
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
Eligibility to Work in the UK
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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