Are you excited by the challenge of applying cutting-edge artificial intelligence to improve healthcare outcomes? We are seeking a Research Associate to join the UKRI/EU-funded AIDA (Artificial Intelligence Diagnostic Assistant) project, focused on gastric inflammation.
In this role, you will develop advanced machine learning approaches—including graph neural networks and foundational models—to integrate endoscopy, pathology, and multi-omics data for early detection and risk stratification of gastric cancer. Working within the Department of Surgery and Cancer, you will help push the boundaries of AI-enabled precision medicine.
Designing and implementing novel machine learning algorithms for multi-source data analysis
Applying graph neural networks and foundational models to combine imaging, pathology, and omics data
Collaborating with surgeons, oncologists, pathologists, and computational scientists to drive translational impact
Presenting findings at scientific meetings, publishing in peer-reviewed journals, and contributing to grant writing and student supervision
PhD (or equivalent) in cancer informatics, bioinformatics, medicine (with a strong computational or data driven focus) or a related quantitative discipline
Strong experience in machine learning, particularly deep learning and reinforcement learning
Experience working with omics data (., proteomics, interactomics) and programming (Python)
Excellent analytical, problem-solving, and communication skills
Ability to work independently and within a multidisciplinary research team
An opportunity to contribute to a world-class, collaborative project advancing AI in healthcare
Access to Imperial’s sector-leading career development resources, mentoring, and training
Competitive salary and benefits, including 39 days annual leave and excellent pension schemes
A diverse, inclusive workplace that values your personal and professional wellbeing
