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Location: Barcelona, Spain

About The Job As RWE Data Scientist you’ll provide a high level of expertise in employing cutting‑edge analytical & computational approaches to drive evidence‑based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D;, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting‑edge analysis to key business questions.

Examples Of Advanced Analytics Activities

Machine/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs

Create a framework for generating re‑usable models and insights across big‑data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging)

Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging

Adoption of emerging technology into an analytical framework: distributed analytics, graph databases

People

Act as a subject matter expert in machine learning,



statistical and/or modelling working on team projects

Work with internal and external study lead to execute advanced analytics projects and studies

Performance

Implement and execute computational and statistical methodologies in advanced analytics for RWE

Provide expertise and execute advanced analytics for solving problems across R&D;, Medical Affairs, HEVA and Market Access Strategies and Plans

Process

Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text‑mining/NLP, data‑mining to extract insights and be able to communicate and champion these efforts across the company

Plan and deploy methodological standards, standardized processes, demos, and POCs for the company’s highest priority business needs

Contribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem to guide decision‑making and building foundational capabilities

About You Education PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; Relevant Master’s Degree, with 10 years of related industry or academic experience.

Soft skills Strong oral and written communication skills; ability to work and collaborate in a team environment

Languages Excellent knowledge of English language (spoken and written)

📌 RWE Data Scientist (Madrid)
🏢 Sanofi
📍 Madrid