Negotiable
OverviewAbout the Role and Project: PharosAI is a £43.6M national programme co-led by Queen Mary University of London. It aims to revolutionise AI-powered cancer care by accelerating the development of breakthrough therapies, advancing clinical applications, and improving access to cutting-edge technology across the UK. This is a unique opportunity to help build a first-of-its-kind cancer AI development ecosystem, democratising access to data, technologies, and AI expertise, while directly contributing to patient care and innovation. The role is part of multiple exciting roles recruited into across a variety of disciplines for this project.
Responsibilities
Contribute to building a federated, secure AI platform designed to support NHS delivery, AI-driven drug discovery, and real-world clinical applications.
Help lead fair, transparent data sharing, patient involvement, and education in AI for healthcare professionals.
Collaborate within an interdisciplinary team of scientists, bioinformaticians and support colleagues to advance cancer research and AI-driven innovation.
About you / Qualifications
Postgraduate degree and PhD in a related field.
Experience with multiple modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging.
Experience with machine learning and deep learning frameworks, API development, and dashboards.
Proficiency in programming and a collaborative mindset with a commitment to excellence in research and impact on society.
Position detailsThe project will be based at the Barts Cancer Institute, part of the Faculty of Medicine and Dentistry.
About the InstituteThe Barts Cancer Institute (BCI)
is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. BCI is internationally renowned in many areas of cancer research, combining ground-breaking basic research with clinical expertise and extensive postgraduate training.
About Queen MaryWe continue to embrace diversity of thought and opinion in everything we do, with a commitment to inclusive employment policies, flexible working arrangements, and campus facilities. We provide comprehensive staff benefits and are open to considering applications from candidates wishing to work flexibly. Reasonable adjustments will be made at each stage of the recruitment process for candidates with a ..... full job details .....
Negotiable