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Global Lead, Medical Intelligence to Strategy

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Sanofi
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 206250 - 297916 USD Yearly USD 206250.00 297916.00 YEAR
Job Description & How to Apply Below
## Global Lead, Medical Intelligence to Strategy Bewerbenlocations:
Cambridge, MA:
Morristown, NJtime type:
Vollzeitposted on:
Heute ausgeschriebentime left to apply:
Enddatum: 28. September 2026 (Noch 30+ Tage Zeit für Bewerbung) job requisition :
R2863339
** Job title**:
* Global Lead, Medical Intelligence to Strategy*
*
* Location:

Cambridge, MA, Morristown, NJ
*** About the Job
** At Sanofi, we chase the miracles of science to improve people's lives. We are accelerating Sanofi's modernization journey, supporting our Take the Lead strategy to become more focused, integrated, agile, and efficient. The current wave of digital technologies — including artificial intelligence (AI), Generative AI, and predictive analytics — offers extraordinary opportunities to transform the future of Medical Affairs by pioneering data-driven capabilities that shift how we generate, interpret, and act on scientific and medical intelligence.

Within the Medical Strategy, Transformation and Excellence team, the Medical Innovation function serves as the enterprise incubator for high-impact innovation across Medical Affairs. The team operates at the intersection of medical science, data, and digital technology — building future-state capabilities, testing breakthrough solutions, and partnering with GBUs and Digital teams to ensure innovation creates measurable impact for patients and the business.

The
** Global Lead, Medical Intelligence to Strategy
** is the analytical and strategic engine of the Medical Innovation organization. This role is built to architect the fundamental shift from retrospective data reporting to forward-looking, predictive medical intelligence — owning the Medical Care Gaps framework, driving the data strategy for Medical Affairs, and building predictive analytics capabilities (including Medical Plai) that empower evidence-based decision-making across Medical GBUs. Operating within the Medical Innovation incubator model, this leader identifies, use cases, and defines KPI frameworks for next-generation medical intelligence tools before handing off scaled solutions to operational pillars.

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.
** About Sanofi
** We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
*
* Main responsibilities:

** Strategic Medical Intelligence & Data Leadership:
* Define and own the Medical Intelligence roadmap, shifting Medical Affairs from "reporting data" to "predictive strategy" — forecasting medical trends, anticipating unmet needs, and enabling forward-looking decision-making across GBUs.
* Build and lead the Data Strategy framework that connects clinical evidence, real-world data, field insights, and digital health data streams into a unified, actionable intelligence layer for Medical Affairs.
* Champion Medical Plai and other predictive analytics platforms, overseeing their design, testing, and integration into Medical Affairs planning and decision-making workflows.
* Own and evolve the Medical Care Gaps identification and analysis framework, ensuring it drives meaningful prioritization across GBU Medical strategies and evidence generation plans.
* Lead the development and optimization of MedIS (Medical Insights Engine) capabilities to ensure data accessibility, quality, and strategic utility across the Medical Innovation ecosystem.
* Develop and maintain a strategic roadmap for Medical data and analytics capabilities, aligned with GBU priorities and the broader Medical Innovation agenda.

Innovation Incubation, Test & learn:
* Function as the primary incubator for medical intelligence innovations — scout emerging data science and AI/ML capabilities, test use cases in partnership with Digital, and define rigorous success metrics before…
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