About the job

Our Team:

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

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. Our team plays a critical role in accelerating and transform drug discovery and translational research by building AI-powered, in-silico solutions that empower scientists, enhance decision-making, and connect data to 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:

Demand Intake & Management:

• Collaborate closely with R&D business stakeholders to develop a clear vision and define operational demand initiatives, ensuring products evolve with R&D business needs and drive high maturity

• Lead the strategic demand ideation of Molecule Design Products, including sourcing external innovation, coordinating with R&D business and key stakeholders, drive ideation working sessions, and ensure effective product prioritization

• Work with team leadership to develop the long-term strategy and delivery roadmap for the portfolio of products

• Collaborate with computational chemists, biologists, and data scientists to identify opportunities for AI application in molecular design

Vertical Product Delivery:

• Oversee the development and execution of all product projects and initiatives within your product line, ensuring solutions meet scientists’ needs

• Manage execution of multiple product lines to ensure accurate delivery and timeliness of the Products, while mitigating issues, risks, and blockers

• Drive product development through required governance: build recommendations for go/no-go at stage gates based on supporting data, evidence, and R&D business value to governance bodies with compelling executive summaries and requests

• Work with business stakeholders to ensure adoption of product line, via proper business transformation / change management integrating product to existing or new business processes

• Collaborate with cross-functional teams and build a culture that fosters knowledge-sharing amongst teams, aiming to resolve any blockers and accelerate product delivery

• Ensure effective partnership and communication between externally supporting roles

• Be the voice of the customer to drive the development of AI-powered tools for target identification, molecule generation, and property prediction

• Work with data science teams to ensure proper validation and benchmarking of AI models against experimental data

Innovation & Team Management:

• Act as a change agent and thought leader on Digital opportunities and priorities

• Stay current on industry trends, emerging technologies, and best practices in product management and Pharma in silico Research applications

• Create a balanced workload for product teams by managing priorities and delivery across products

• Act as the primary escalation point for Product Owners and associated Pod delivery teams

• Act as the key liaison between R&D business stakeholders & technical teams

About You

Education: Advanced degree (PhD, MS) in a relevant scientific field (e.g., Chemistry, Structural Biology, Bioengineering, Computational Sciences) or equivalent industry experience.

Experience: 8-10+ years of experience in product management, project management in a technical field, R&D data management, or other related field

Skills:

• 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.**