Product Owner for In Silico Translational Medicine

Sanofi•Morristown, MA

About The Position

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 addressing unmet medical needs. Our products empower self-care, prevent and treat diseases, and help people lead healthier lives. Digital & Data is at the heart of Sanofi. Our ambition is to be the leading digital healthcare platform: developing & delivering medicine faster, enabling healthcare professionals to improve treatments, and helping patients improve their health. Our scale, strong connections within health ecosystems across 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 In Silico Translational Medicine , you will lead the creation of new AI/ML models for the quantitative pharmacology and/or preclinical safety functions which are used to inform probability of success of therapeutic candidates as they advance in the R&D pipeline. Additionally, you will industrialize pilot AI/ML models and interoperable data solutions created by our business partners in Quantitative Pharmacology and Preclinical Safety, ensuring scalability, ease of use, and alignment with Digital standards for future proofing. This position reports to the In Silico Translational Medicine Product Line Owner.

Requirements

5+ years of experience in product management, defining new products and features that provide value users.
Experience translating business requirements to technical specifications.
Proven track record of collaborating with data scientists and/or developers to create products which serve the needs of scientists modeling, analyzing, and/or processing data to advance biomedical research or drug development.
+2 years of experience in the life sciences, preferably in the biopharma sector.
+2 years of experience managing budgets.
Bachelor's

Nice To Haves

MS or PhD in Pharmacology, Chemistry, or the Life Sciences (Computational Biology, Bioinformatics, Biochemistry, Molecular Biology, or related field).
Teammates have given you feedback that you have excellent communication skills with a wide range of collaborators and stakeholders.
You are a strong leader and eager to continue developing as a leader.
You can both command the room and be an empathetic listener.
You are inclined to give your teammates the benefit of the doubt before knowing the full story.
You are confident in your ability to balance competing priorities with an appropriate sense of urgency and make data-driven decisions about feature priorities.
Curiosity about emerging technologies in AI/ML and scientific computing.

Responsibilities

Build partnerships with scientists on the Quantitative Pharmacology and Preclinical Safety teams.
Understand the data, in silico models, and analysis platforms they use today to carry out their function within R&D.
Work together to identify pain points with existing workflows and major opportunities for AI/ML models and interoperable data solutions to advance the R&D pipeline.
Collaborate with the In Silico Translational Medicine Product Line Owner and scientists on the Quantitative Pharmacology and Preclinical Safety teams to write business cases for new product development, ensuring that investment prioritizes maximum R&D pipeline acceleration and higher probability of success for therapeutic candidates.
Define user stories and product requirements.
Prepare work for data scientists and engineers following agile product development best practices.
Own and prioritize features on the product roadmap based on scientific impact, business value, and technical feasibility.
Facilitate sprint planning collaborating closely with a scrum master.
Manage the product backlog.
Spearhead user adoption of new products.
Perform outreach to scientists to inform them of the new capabilities and provide necessary training materials.
Define KPIs and success metrics.
Track and report on KPIs to evaluate value provided to the business.
Track spend throughout product delivery, ensuring that scope of work stays within budget.
Oversee lifecycle management for a portfolio of existing digital solutions used by the Quantitative Pharmacology team and/or Preclinical Safety team, staying aligned with the scientists on the value these solutions provide and new options in the marketplace.