2 of 2 Remote/Hybrid Deep Learning Jobs in the East of England

adopt best practices for ML-ready data. Contribute to scientific publications and present results at internal and external scientific conferences. Requirements: Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field. Strong experience in one or more of the following areas: generative AI, biomedical foundation models … geometric deep learning, multi-modal learning, and large-scale knowledge graphs. Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies. Practical experience across ML and LLM software stack, including feature engineering, model development ...

clinical, and other relevant data modalities to support target and biomarker portfolios. Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches. Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance … drug discovery, translational research, biotechnology, pharmaceutical R&D, technology, or academic research. Experience leading or managing internal data scientists, computational biologists, bioinformaticians, or machine learning scientists in a matrix management environment as well as external collaboratorsDemonstrated ability to lead complex, hypothesis-driven scientific analyses using biological, multi-omics ...