At a Glance
- Tasks: Lead innovative research in computational biology and AI to transform cancer medicine.
- Company: Join the Cancer Research UK Manchester Institute, a leader in cancer research.
- Benefits: Collaborative environment, access to cutting-edge resources, and career development opportunities.
- Other info: Be part of a vibrant community with exceptional collaboration opportunities.
- Why this job: Make a real impact in cancer research while working with top scientists and clinicians.
- Qualifications: Experience in computational methods and machine learning applications in biology.
The predicted salary is between 55000 - 70000 £ per year.
The Cancer Research UK Manchester Institute (CRUK MI) is seeking exceptional early-career and senior scientists, including clinician scientists, to establish bold, innovative and internationally leading research programmes as independent Group Leaders in Computational Biology and Artificial Intelligence. Situated within one of Europe’s largest and most dynamic cancer research ecosystems, successful candidates will join an outstanding collaborative environment spanning the Cancer Research UK Manchester Institute, the Manchester Cancer Research Centre (MCRC), The University of Manchester, The Christie NHS Foundation Trust, and Manchester’s rapidly expanding AI research community.
About you
We are particularly interested in candidates developing novel computational and machine learning methodologies with applications to cancer biology and medicine. Areas of interest include, but are not limited to:
- Machine learning and artificial intelligence for cancer research.
- Foundation models and large-scale biological learning systems.
- Single-cell and spatial multi-omics analysis.
- Computational genomics and epigenomics.
- AI-enabled pathology and medical imaging.
- Cancer evolution and tumour ecosystem modelling.
- Systems biology and network-based approaches especially in immunology.
- Clinical data science and real-world evidence.
- Multimodal integration of biological and clinical datasets.
We welcome ambitious and visionary research programmes that combine methodological innovation with transformative applications in cancer biology and cancer medicine.
Data, AI and Translation at Scale
Manchester provides a uniquely integrated environment in which computational scientists can develop transformative AI methods while working closely with experimental researchers, translational scientists and clinicians. Successful candidates will join a vibrant computational research community and benefit from close interactions with major University of Manchester initiatives including:
- ELLIS Unit
- Manchester Centre for AI Fundamentals
- Christabel Pankhurst Institute
Together, these provide exceptional opportunities for collaboration across machine learning, foundation models, multimodal AI, trustworthy AI, biomedical data science and translational applications of artificial intelligence. The Institute has exceptional strengths in generating large-scale, high-dimensional datasets that create opportunities for methodological innovation and biological discovery. These include:
- Single-cell and spatial multi-omics datasets.
- Histopathology and advanced imaging data.
- Immune profiling and tumour ecosystem analyses.
- Longitudinal clinical and translational datasets.
- Electronic health records and real-world clinical data.
Co-location with The Christie NHS Foundation Trust, one of Europe’s largest comprehensive cancer centres, provides unrivalled opportunities for both forward and reverse translation. Researchers will have opportunities to collaborate closely with clinician scientists, translational researchers and trialists to develop computational approaches with direct clinical relevance. The successful candidate will be uniquely positioned to develop programmes spanning computational method development, biological discovery, translational research and clinical implementation.
Contact Details:
Cancer Research UK Manchester Institute Recruitment Team
