> Markdown version of [/jobs/ext/4141964-research-assistant-data-scientist-in-artificial-intelligence-for-computational-cancer](https://www.wearedevelopers.com/jobs/ext/4141964-research-assistant-data-scientist-in-artificial-intelligence-for-computational-cancer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Assistant / Data Scientist in Artificial Intelligence for Computational Cancer - **Company:** University College London Hospitals NHS Foundation Trust - **Location:** London, UK - **Salary:** £37,162.0 - £43,749.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Computer Vision, Clinical Data Repository, Profiling, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Pytorch, Information Technology - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e26df2d53514049a ## About the Role Cancer is a complex, multi-scale disease involving interacting processes across the molecular, cellular, tissue and organ levels. At the same time, advances in genomics, molecular profiling, pathology, imaging and clinical data collection have generated unprecedented volumes of multimodal cancer data. A major challenge is to integrate these diverse data sources into coherent computational frameworks that can generate biological insights, support clinical decision-making and accelerate therapeutic discovery. We are seeking a highly motivated and talented Data Scientist (Grade 7) in AI for computational cancer to join an ambitious and multidisciplinary research programme focused on constructing and validating transparent, interpretable, and biologically grounded models directly from multimodal cancer datasets., You will have a strong computational background, with an MSc or equivalent in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Engineering or a related discipline, together with experience developing and applying AI and machine learning methods to complex research challenges. You will possess excellent programming skills, particularly in Python and modern machine learning frameworks such as PyTorch or TensorFlow, and have experience in areas such as computer vision, natural language processing or multimodal AI. You will be an analytical and innovative researcher with excellent problem-solving skills and, ideally, experience applying AI to healthcare or computational cancer research. Knowledge of cancer biology, multimodal biomedical data, genomics, imaging or digital pathology would be advantageous. The successful candidate will be highly organised, able to work independently and committed to producing high-quality, reproducible research. You will have strong communication skills and enjoy collaborating with clinicians, biologists, data scientists and researchers from diverse backgrounds. Most importantly, you will be passionate about applying cutting-edge AI technologies to advance cancer research and improve patient outcomes. ## Description The successful candidate will lead the research, generation, and exploration of novel multi-modal AI models, intended to deepen our understanding the underlying relationships between different forms of computational cancer data - including digital histopathology, immunohistochemistry, and genomics - generated from tissue samples collected as part of prostate cancer clinical trials. The researcher will contribute to fundamental advances in our understanding of cancer biology while supporting the development of innovative approaches for patient stratification, therapeutic target discovery, treatment optimisation and precision oncology. The successful candidate will have the opportunity to publish in leading journals, present their work at major international conferences and contribute to the development of transformative AI technologies with significant scientific and clinical impact. This is an exceptional opportunity for an ambitious AI researcher to develop and apply cutting-edge AI technologies to challenging real-world problems in biomedicine.