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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 Digital In-Silico Molecule Design Product Line Owner (PLO) (all genders), you will lead the development and execution of a strategic in silico product portfolio that powers discovery and design across small molecules, biologics, and genomic medicines. Your mission is to deliver advanced AI/ML, modeling and simulation tools, and automation workflows that transform how scientists design, optimize, and validate molecules at scale. You will be accountable for the vision, roadmap, and business value delivery of digital products supporting Integrated Drug Design (IDD), Large Molecule Research (LMR), Genomic Medicines (GMU) and other related platforms. Partnering closely with R&D scientists, data scientists, and digital teams, you will ensure our in silico solutions are science-aligned, user-centered, and scalable.
This Product Line Owner will oversee the delivery of the products from ideation and execution through run and scale, overseeing the development and lifecycle management of portfolio of products, ensuring alignment with R&D business goals and user needs. Collaboration across the organization will be key to delivering a portfolio of high-quality products that drive value for Sanofi.
Key Responsibilities:
Vertical Product Delivery:
Innovation & Team Management:
About You:
Advanced degree (PhD, MS) in a relevant scientific field (e.g., Chemistry, Structural Biology, Bioengineering, Computational Sciences) or equivalent industry experience.
8-10+ years of experience in product management, project management in a technical field, R&D data management, or other related field
Proven experience in digital product management, particularly in AI/ML-driven decision support systems within the pharmaceutical R&D or life sciences context
Strong understanding of drug discovery workflows and challenges, including molecular design and biological research
Track record of delivering high-impact AI/ML products in pharmaceutical research or life sciences, demonstrating ability to meet time, scope, cost, and quality expectations
Experience leading cross-functional teams and managing complex projects in a large pharma environment
Excellent communication and collaboration skills, with ability to bridge technical and business teams
Strong facilitation skills in design-thinking workshops and ideation sessions with diverse stakeholder groups
Strong problem-solving skills and ability to derive value from data pipelines and workflows to address business challenges
Experience in building and maintaining relationships with stakeholders, understanding their needs, and translating them into effective data products
Note: This role offers opportunities to learn and grow in various aspects of computational chemistry/biology and drug development.
Business fluent in English