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 decisi

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