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 Lab and Plant Operations team is one of the verticals within Digital R&D, focused on developing and delivering digital products to allow the R&D organization to run efficiently and reach its strategic goals. Our team plays a critical role equipping the R&D organization to run efficient and modern lab and plant operations that keep pace with science, while fueling AI-enabled decision making with scientific data. As the Product Owner Scientific Data Analytics, you lead the digital delivery of next generation scientific data analytics platforms for the organization. Working with R&D scientists, bioinformaticians, and laboratory teams, you will define the vision, strategy, and roadmap for digital product(s) that enable researchers to extract meaningful insights from complex proteomics data, high-throughput screening results, and experimental datasets. You empower the organization to accelerate drug discovery and development through streamlined data analysis workflows, advanced visualization capabilities, and integrated analytics solutions that transform raw scientific data into actionable intelligence. This role provides a unique opportunity to work in a dynamic team, fully empowered to propose and implement innovative ideas. This role will also provide hands-on experience on collaborating with diverse vendors and major internal & external stakeholders.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees