Reference No. R2819733
Position Title: Head of In Silico Data Analytics Products
Department: Digital In-silico Research
Location: Toronto, Ontario

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

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