Global Head, Regulatory Science — Model-Enabled Dev & RWE

Sanofi EU

Cambridge (MA)

On-site

USD 250,000 - 360,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Wellness programs
Parental leave (14 weeks)

Job summary

Sanofi invites a Global Head of Regulatory Science to lead model-enabled development, real-world evidence, and novel endpoints across development stages. You will shape regulatory strategy and agency engagement.

This executive oversees a center of excellence, partnering with Translational Medicine, Clinical Development, Biostatistics, and external stakeholders to ensure early regulatory integration of modeling, endpoints, and evidence.

Qualifications

  • 10–15 years in regulatory affairs with demonstrated progression.
  • Direct experience with Model-Informed Drug Development (MIDD) and novel endpoints.
  • Proven ability to lead specialized teams and drive cross-functional collaboration.
  • Bachelor’s degree required; advanced degree in quantitative sciences preferred.

Responsibilities

  • Provides Leadership and Strategic Vision for the expert unit.
  • Develops and implements regulatory strategy frameworks across development phases.
  • Leads strategic engagement with worldwide regulatory agencies including FDA/EMA.
  • Drives knowledge management and capability building within GRA.
  • Ensures excellence in regulatory submissions and cross-functional collaboration.

Skills

Regulatory leadership
MIDD expertise
Strategic vision
Cross-functional leadership
Regulatory strategy
Stakeholder management
Regulatory submissions
Communication skills
Project governance
Regulatory health authority liaison

Education

Bachelor's degree
Advanced quantitative degree

Tools

Modeling tools

Job description

Sanofi invites a Global Head of Regulatory Science to lead model-enabled development, real-world evidence, and novel endpoints across development stages. You will shape regulatory strategy and agency engagement.

This executive oversees a center of excellence, partnering with Translational Medicine, Clinical Development, Biostatistics, and external stakeholders to ensure early regulatory integration of modeling, endpoints, and evidence.

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