At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people. As one of the leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our products empower self-care, prevent and treat diseases, and help people live better. Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology. The Digital In-Silico Research team is a key innovation engine within Digital R&D, dedicated to pioneering next-generation digital products that reshape how R&D discovers, designs, and develops new medicines. We harness cutting-edge AI, machine learning, and computational modeling to build transformative in-silico solutions—empowering scientists with predictive insights, streamlining complex workflows, and turning data into decisive action. As the Product Owner for ML Interface Solutions , you will play a critical role in bridging the gap between powerful AI/ML models and the scientists who use them. Reporting to the In Silico Molecule Design Product Line Owner, you will create intuitive, user-friendly front-end interfaces that make complex ML tool outputs accessible and actionable for Large Molecule Research (LMR) scientists. Your mission is to transform computational predictions into compelling visualizations and workflows that seamlessly integrate into biologics discovery processes. This role sits at the intersection of cutting-edge AI/ML technology and user-centered design, where you will have direct impact on how AI integrates to research workflow to drive insights. You will partner closely with data scientists, ML engineers, and scientists to understand both the technical capabilities of our models and the practical needs of bench scientists. Through these collaborations, you will translate complex technical capabilities into user-centered solutions that enable scientists to make faster, more informed decisions in antibody discovery, protein engineering, and biologics optimization. You will own the product roadmap and backlog for ML interface solutions, working in agile pods to deliver iterative improvements that enhance user experience and accelerate adoption. A critical aspect of this role involves continuously evaluating research scientists' activities to identify bottlenecks and inefficiencies that can be addressed through innovative digital solutions. You will balance scientific accuracy with intuitive design principles, ensuring that interfaces are accessible and usable by non-computational scientists who need to leverage AI insights confidently in their daily work. Success in this role includes creating AI solutions that become essential tools in scientific research workflows, transforming how they leverage computational insights to drive scientific discovery and ultimately accelerating Sanofi's biologics research pipeline. About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.