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Head of In Silico Data Analytics Products

Sanofi

$125,250 - $180,917
Sep 2, 2025
Cambridge, MA, USA • Morristown, NJ, USA
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Sanofi aims to accelerate drug discovery and translational research by building AI-powered, in-silico solutions that empower scientists, enhance decision-making, and connect data to action. The role is to develop and implement cross-functional in silico capabilities to meet the needs of multiple business functions, integrating them across the organization to enhance data-driven scientific decisions.

Requirements

  • 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
  • Good understanding of data pipelines and workflows and how to derive value from data to solve business challenges

Responsibilities

  • 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
  • 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

Other

  • 5+ years of experience in product management, project management in a technical field, R&D data management, or other related field
  • Master's Degree required, PhD preferred, in a relevant scientific field (e.g., Systems Biology, Structural Biology, Bioengineering, Computational Sciences)
  • Experience in or good understanding of Pharma R&D portfolio optimization in large pharma, or demonstrated ability to learn the business quickly
  • 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