Reference No. R2819733

Position Title: Head of In Silico Data Analytics Products

Department: Digital In-silico Research

Location: Toronto, Ontario

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

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.

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?

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.

Why join Sanofi Digital:

• Executive sponsorship and governance, with newly appointed CDO & leadership team
• Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
• Unique diversity of medical & technical challenges, with mobility opportunities

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 In Silico Data Analytics Product Line Owner, you will be responsible for developing and implementing cross-functional in silico capabilities that meet the needs of multiple business functions, including Research, Vaccines, GMU, LMR, CMC, and Translational Biomarkers. You will focus on key areas such as NGS, digital pathology, and proteomics, ensuring these capabilities are effectively integrated across the organization. Working closely with scientific and technical teams, you will help define requirements, implement solutions, and drive adoption of these critical capabilities to enhance Sanofi's ability to make data-driven scientific decisions.

You will collaborate with Product Owners and stakeholders across multiple business functions to ensure that transversal in silico capabilities are aligned with business needs and effectively integrated into scientific workflows. Your expertise will be instrumental in building robust data foundations and analytical frameworks that enable scientists to leverage advanced technologies for drug discovery and translational research.

Main Responsibilities:

Capability Development & Implementation:

• Develop and implement transversal analytical capabilities that meet the needs of multiple business functions
• Collaborate with scientific teams to understand requirements and translate them into technical specifications
• Ensure data continuity and integration between different platforms and business functions
• Work with technical delivery teams to build robust data foundations for multi-omics workflows

Cross-functional Collaboration:

• 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
• Facilitate knowledge sharing and best practices across different teams using similar capabilities
• Identify opportunities for synergy and efficiency in the implementation of in silico capabilities
• Collaborate with Product Owners to ensure capabilities are integrated into product roadmaps

Innovation & Technical Excellence:

• Stay current on emerging technologies and methodologies in NGS, single-cell analysis, digital pathology and spatial biology, metabolomics, and proteomics
• Evaluate new tools and approaches that could enhance Sanofi's in silico capabilities
• Contribute to the AI Research initiatives, focusing on applications in drug discovery
• Drive continuous improvement of existing capabilities based on user feedback and technological advancements

Adoption & Change Management:

• Develop training materials and documentation to support user adoption
• Work with business stakeholders to ensure proper integration of capabilities into scientific workflows
• Monitor usage metrics and gather feedback to inform future enhancements
• Identify and address barriers to adoption across different business functions

About You

Experience:

• 5+ years of experience in product management, project management in a technical field, R&D data management, or other related field

Education: Master's Degree required, PhD preferred, in a relevant scientific field (e.g., Systems Biology, Structural Biology, Bioengineering, Computational Sciences).

Skills:

• Strong technical expertise in at least one of the key capability areas (NGS, digital pathology, proteomics) with working knowledge of the others
• Experience implementing computational tools and workflows in a scientific research environment
• Experience in or good understanding of Pharma R&D portfolio optimization in large pharma, or demonstrated ability to learn the business quickly
• Good understanding of data pipelines and workflows and how to derive value from data to solve business challenges
• Strong networking, influencing and negotiating skills and superior problem-solving skills
• Demonstrated experience with leading design-thinking and ideation workshops and working sessions with diverse groups of stakeholders
• Experience in leading cross-functional teams and managing complex projects or programs
• Ability to build business relationships and understand end-to-end data use and needs
• Excellent ability to listen to stakeholders and end users, ensuring data products are built to address their specific needs and use cases
• Excellent communication and collaboration skills across technical and business teams

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

This position is for a new vacant role that is now open for applications.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.