Senior Research Fellow in AI for Cancer Digital Twins

This position offers an opportunity to join Professor Jasmin Fisher’s laboratory at UCL Cancer Institute, where a multidisciplinary team is pioneering AI technologies to create digital tumour twins. The role focuses on advancing trustworthy AI, neurosymbolic reasoning, and computational biology to integrate machine learning, mechanistic modelling, and large-scale biomedical data. The successful candidate will contribute to groundbreaking research in cancer systems medicine, aiming to transform precision oncology. The position is ideal for experienced AI researchers with a strong background in computational biology, bioinformatics, or related fields, seeking to apply cutting-edge methods to real-world biomedical challenges.

• Develop AI-driven digital tumour twins to simulate cancer progression and treatment responses using machine learning and mechanistic modelling.
• Integrate large-scale biomedical datasets, including genomic, transcriptomic, and multi-omics data, into interpretable AI models.
• Collaborate with biologists, clinicians, and computational scientists to translate AI research into clinically actionable insights.
• Contribute to the development of transparent, interpretable, and trustworthy AI technologies for precision oncology.
• Publish research findings in high-impact journals and present results at international conferences.
• Supervise junior researchers and contribute to the mentorship of PhD students and postdoctoral fellows.
• Ensure reproducibility of research practices and maintain high standards of scientific excellence.