Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do.

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. 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 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 Advance Analytics projects and studies Performance Provide expertise and execute advanced analytics for solving problems across R&D;, Medical Affairs, HEVA and Market Access Strategies and Plans 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.

Languages

Excellent knowledge of English language (spoken and written) #

📌 DATA SCIENTIST DIGITAL HEALTH (Barcelona)
🏢 Cv-Library
📍 Barcelona