<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>We are seeking a talented R&amp;D Data Scientist to join a cutting-edge Therapeutics Discovery (TD) team. This role sits within a high-impact R&amp;D Data Science function, focused on applying Machine Learning and Data Engineering to accelerate drug discovery and scientific innovation.</p><p>You’ll work at the intersection of data science and biology, collaborating with scientists, engineers, and technologists to turn complex datasets into actionable insights that drive the development of next-generation therapies.</p><p><br/></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and apply advanced ML/AI models to support key discovery activities such as target identification, multi-omics integration, and mechanistic insights</li><li>Work with diverse datasets (chemical, biological, imaging, assay data) using modern approaches such as deep learning, graph learning, and generative models</li><li>Build and maintain scalable data pipelines to integrate and standardise R&amp;D data</li><li>Partner with platform and engineering teams to deploy models using MLOps best practices</li><li>Collaborate closely with scientists to translate complex experimental data into insights that inform discovery decisions</li><li>Contribute to experiment design, data interpretation, and iterative research improvements</li><li>Support innovation by evaluating new tools, technologies, and data platforms</li></ul><p><br/></p><p><strong>What We’re Looking For</strong></p><p><strong>Essential:</strong></p><ul><li>Master’s or PhD in a relevant field (e.g. Data Science, Bioinformatics, Computational Biology, Chemistry, Computer Science)</li><li>Hands-on experience applying ML/AI in scientific or research environments</li><li>Strong Python skills and experience with tools such as PyTorch, TensorFlow, scikit-learn, RDKit</li><li>Experience in data engineering, including pipelines, ETL/ELT, and cloud platforms (AWS, GCP, or Azure)</li><li>Ability to collaborate effectively with scientific teams</li></ul><p><strong>Desirable:</strong></p><ul><li>Experience in pharma or biotech discovery environments</li><li>Familiarity with omics data, imaging, or assay datasets</li><li>Knowledge of data standards (e.g. FAIR principles) and regulated environments</li><li>Strong communication and stakeholder engagement skills</li></ul><p><br/></p><p><strong>Why Apply?</strong></p><p>This is a unique opportunity to join a world-class R&amp;D Data Science organization at the forefront of therapeutic innovation. Your work will directly contribute to advancing drug discovery, driving AI innovation, and delivering meaningful impact to patients globally.</p><p></p> </div>