Innovation Project Lead - Clinical Data AI Processing

Role Summary

Innovation Project Lead in Clinical Data AI Processing responsible for leading AI/ML initiatives for real-time clinical data access, processing, and digital transformation within Sanofi R&D, driving AI-enabled insights and accelerated clinical development timelines. Location: Cambridge, MA; Morristown, NJ.

Responsibilities

• Lead AI Innovation: Drive the development of cutting-edge AI/ML solutions for clinical data processing and analysis
• Shape the Future: Gather business requirements and develop strategic process & project roadmaps
• Design End-to-End Solutions: Collaborate with Digital teams to create real-time data flows, AI solutions, automations, and data models
• Ensure Excellence: Manage project lifecycles with precision, ensuring alignment with strategic objectives
• Maintain Compliance: Ensure all AI solutions adhere to GCP, regulatory requirements, and ethical/legal standards including data privacy
• Drive Adoption: Lead cross-functional teams in change management and provide training to ensure smooth implementation
• Continuous Improvement: Monitor solution performance and implement ongoing enhancements

• Creating AI-enabled solutions that transform clinical data into actionable insights
• Building processes that dramatically accelerate our clinical development timeline
• Enabling interactive, real-time access to critical clinical data and analyses

Qualifications

• Advanced degree in Biostatistics, Computer Science, Engineering, Information Systems, Business, or related scientific field
• 5+ years' minimum experience in clinical data management, statistical analyses, or healthcare technology
• 2+ years minimum experience in clinical development processes showing a strong understanding in clinical trial data processing and analysis.
• Exceptional project management, communication, and problem-solving abilities
• Experience with agile methodologies, business process management, and digital transformation

Education

• Advanced degree in Biostatistics, Computer Science, Engineering, Information Systems, Business, or related scientific field