Sanofi logo

Innovation Project Lead

Sanofi
Remote friendly (Cambridge, NJ)
United States
IT

Role Summary

Innovation Project Lead, Clinical Data AI Processing role at Sanofi. Location: Cambridge, MA, Morristown, NJ. Leads innovative projects at the intersection of artificial intelligence and clinical data processing from data capture to analytics, focusing on real-time clinical data access, AI/ML processing, and digital transformation initiatives within Sanofi's R&D organization.

Responsibilities

  • Drive the development of AI/ML solutions for clinical data processing and analysis
  • Understand and gather business requirements; develop the process & project roadmap
  • Collaborate with Digital to design end-end real-time data flow and processes, AI solutions, automations, data models, and integration with co-existed systems/tools in clinical development
  • Manage project lifecycles, ensuring alignment with strategic objectives
  • Ensure AI solutions/process comply with GCP, regulatory requirement, ethical and legal standards including data privacy and fairness
  • Lead cross-functional teams in developing and executing change management
  • Provide training and support to internal and external end-users to ensure smooth adoption of AI-driven solutions
  • Monitor new AI solution performance and provide ongoing maintenance and improvements

Qualifications

  • Advanced degree in Biostatistics, Computer Science, Engineering, Information Systems, Business, or related scientific field
  • Minimum 5+ years’ experience in clinical data management, statistical analyses, or healthcare technology
  • Strong understanding of clinical development processes; experience with clinical trial data processing and analysis preferred
  • Excellent project management, communication and problem-solving skills
  • 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