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AI-Enabled Early Operational Strategy Lead

Sanofi

Salary not specified
Aug 22, 2025
Cambridge, MA, US
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The business problem is to accelerate drug discovery and development by leveraging cutting-edge AI technologies to revolutionize the preparation and execution of clinical studies, thereby improving operational efficiency and ultimately patient outcomes.

Requirements

  • At least 3 years of experience with identification and implementation of AI-enabled solutions in the pharmaceutical or healthcare industries.
  • Proven track record implementing AI/ML solutions in clinical development or healthcare settings.
  • Experience building business cases and measuring ROI for digital transformation initiatives.
  • Strong understanding of AI/ML technologies and their practical applications in pharmaceutical clinical operations.
  • Data science expertise with ability to translate complex analyses into actionable insights.
  • Proficiency with digital tools for data visualization and communication.
  • Knowledge of clinical development processes and regulatory considerations.

Responsibilities

  • Leads the development of AI-powered prescriptive models that not only identify what will happen but determine the optimal course of action to achieve desired outcomes, significantly enhancing operational efficiency and strategic planning capabilities.
  • Rotates through the roles within the Early Operations Strategy organization to identify and rapidly propose and deploy solutions to transform our clinical trial preparation activities globally.
  • Develop a transformation plan to solve shared challenges or develop / propose digital solutions.
  • Transform Early Operations Strategy for increased efficiency, modernization, and acceleration to support our future ambitions.
  • Lead the identification and implementation of AI-powered solutions to transform early operations strategy.
  • Drive digital innovation by assessing business cases, establishing go/no-go criteria, and measuring ROI for AI initiatives.
  • Coordinate data-driven feasibility activities including eHealth records analyses, site identification, and enrolment modelling.

Other

  • Master’s Degree in relevant field or equivalent combination of education and experience.
  • Strong English communication skills (verbal and written).
  • Demonstrated success in leading change management for technology implementations.
  • Strategic thinking with ability to identify opportunities for digital innovation.
  • Exceptional communication skills to explain technical concepts to diverse stakeholders.