For over 100 years we have been driving change to defeat diabetes, but we know that what got us here today is not necessarily what will make us successful in the future. We are now transforming our business and taking our expertise into new territories including obesity and rare blood and endocrine diseases. Our story is one of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality : Britain's Healthiest Workplace. The position We are looking for a Principal Computer Vision Scientist to lead the development of foundation models on biological imaging data, with the goal of accelerating target and biomarker discovery. We are establishing a more integrated methodological framework in early research using cellular imaging as a key modality to develop multi:modal foundation models for our in:vitro, high throughput perturbative screening platform. In this role, you will pioneer the integration of generative AI in Research and Early Discovery, helping to reduce the time from target identification to clinical application. Among others, you will: : Spearhead the development and deployment of next:generation AI/ML models, on cellular imaging alongside other modalities (molecular, transcriptomics, biomedical literature) to enhance target and biomarker discovery. : Set the strategy for incorporating generative AI into early:stage drug discovery, working closely with cross:functional teams. : Stay at the forefront of research in computer vision, deep learning, representation learning, and multi:modal data integration. : Present findings through reports, presentations, and scientific publications to internal and external stakeholders. : Foster collaborations with academic and industry partners. Qualifications To be successful in this role, we imagine that you have: : PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field, with professional hands:on experience with pretraining or finetuning foundation models for computer vision : Strong publication record in major CV/ML conferences such as CVPR, NeurIPS, ICLR, ICML. : Proven expertise in multi:modal data integration and representation learning with a track record of successful applications, preferably in biological or pharmaceutical contexts. : Advanced programming skills in Python, with mastery of deep learning frameworks (PyTorch, Hugging Face, PyTorch Lightning, ...). : Proficiency in modern software development practices including version control (Git), continuous integration, and testing systems and modern Python development (uv). : Exceptional problem:solving skills with the ability to conduct independent research while thriving in a multidisciplinary team environment. : Strong written and verbal communication skills. Good to have experience: : high:content screening, high:throughput data generation, single:cell RNA sequencing, or similar modalities integrated with AI/ML modeling. : Hands:on with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large:scale AI/ML model training and deployment. : Deep understanding of systems modeling, biophysics, and causal inference in computational biology. : Writing well:tested and documented code, adhering to best practices in software development, particularly in the context of machine learning and representation learning. About the department The Machine Intelligence department at Novo Nordisk is at the forefront of integrating AI and machine learning with biological data to drive scientific discovery. Based in London, at the heart of the Knowledge Quarter, you will be part of a team of experts who collaborates closely with academia and industry to push the boundaries of whats possible in target and biomarker discovery. Our dynamic and innovative environment