Computational Science Lead

<h1><b>Computational Science Lead</b></h1><p></p><ul><li><i>Location: Barcelona</i></li></ul><p></p><h2><b>About the Job</b></h2><p></p><p>At Sanofi, we chase the miracles of science to improve people’s lives. Within Digital R&amp;D, the Integrative Clinical Data (ICD) team builds AI-powered products that transform how clinical trials are designed, executed, and optimized.<br /><br />This role sits at the intersection of trial design, operational analytics, and AI-driven decision systems. You will lead the development of modeling and data frameworks that enable smarter trial design, real-time operational insights, and scalable analytics across clinical programs.<br /><br />You will work across end-to-end data flows - from raw clinical and operational data to production-grade AI models and agentic systems. Your work will span in-silico trial prediction, patient representation learning, disease progression modeling, clinical foundation models, with extensions into trial enrollment, site intelligence, probability of technical and regulatory success (PTRS) modeling, and end-to-end trial optimization with agents.</p><p><br />As a Lead Computational Scientist, you will operate as a technical owner across initiatives, driving modeling strategy, ensuring scientific rigor, and enabling deployment of decision-grade insights into our Drug Development products.</p><p></p><h3><b>Key Responsibilities</b></h3><p></p><ul><li>Lead development of end-to-end clinical AI workflows, spanning data ingestion, curation, feature engineering, modeling, validation, and deployment across clinical trial design, execution, and optimization use cases</li><li>Design, own and implement advanced modeling approaches for in-silico trial prediction, patient representation learning, disease progression modeling and other development AI use cases – with an evaluation first mindset</li><li>Translate clinical development questions into scalable computational solutions, partnering with clinical, biostatistics, and product teams to define appropriate modeling strategies and success criteria</li><li>Drive integration of models into production systems and decision workflows, collaborating with engineering teams to ensure robustness, scalability, and usability</li><li>Define and implement validation frameworks, including statistical evaluation, temporal validation, and alignment to clinical and regulatory expectations</li><li>Communicate insights through clear narratives, visualizations, and decision frameworks, enabling adoption by clinical teams, study leads, and senior leadership</li><li>Mentor and guide junior scientists, providing direction on modeling approaches, study design, and best practices in machine learning and data science</li><li>Contribute to scientific leadership and external impact, including publications, conference submissions (e.g., ML4H, NeurIPS, AMIA), and cross-industry/academia collaborations</li><li>Identify and drive innovation opportunities across clinical AI, multimodal modeling, and agent-based systems for trial operations</li><li>Stay current with advancements in machine learning, generative AI, and clinical data science, and help translate these into practical applications across the organization</li></ul><p></p><h2><b>About You</b></h2><p></p><h3>Qualifications</h3><p></p><ul><li>5&#43; years of experience in data science, machine learning, computational biology, or related quantitative fields, with demonstrated ownership of end-to-end analytical or modeling workflows</li><li>Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., computer science, statistics, engineering, computational biology, applied mathematics)</li><li>Strong programming experience in Python (preferred), with deep familiarity in scientific computing and machine learning frameworks (e.g., PyTorch, scikit-learn)</li><li>Experience applying software engineering best practices to data and ML systems, including version control, testing, modular code design, and reproducible workflows</li><li>Proven experience developing and deploying machine learning models on complex biomedical or clinical datasets (e.g., EHR, clinical trials, real-world data, imaging, multimodal data)</li><li>Experience developing or applying agent-based or AI-driven decision systems, integrating machine learning models, data pipelines, and reasoning workflows to support complex tasks (e.g., clinical trial operations, monitoring, or optimization)</li><li>Strong understanding of model validation, experimental design, and performance evaluation in real-world or clinical settings</li><li>Experience working with data pipelines and large-scale datasets, including preprocessing, feature engineering, and reproducible workflows</li><li>Ability to translate ambiguous business or clinical problems into structured analytical approaches</li><li>Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders</li><li>Preference for a track record of publications or contributions to machine learning conferences (e.g., NeurIPS, ICML, ICLR, ML4H) or related journals</li><li>Preference for experience working with cloud platforms and data infrastructure (e.g., AWS, Snowflake, Spark/PySpark)</li></ul><p></p><h2><b>Why Choose Us?</b></h2><p></p><ul><li>Bring the miracles of science to life alongside a supportive, future-focused team</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact</li><li>Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave</li></ul><p></p><p><span>#LI-Hybrid #BarcelonaHub #SanofiHubs</span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1>Pursue <i>progress</i>, discover <i>extraordinary</i></h1><p>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.</p><p></p><p>At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.</p><p></p><p>Watch our <a href="https://www.youtube.com/watch?v&#61;SkpDBZ-CJKw&amp;t&#61;67s" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" target="_blank">sanofi.com</a>!</p>