RWE Data Scientist
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RWE Data Scientist
70.800–94.400 / Year
Location
Barcelona
Experience
Senior
Posted
Jul 7, 2026
Apply by
July 28, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
# **RWE Data Scientist**
- *Location: Barcelona, Spain*
## **About the job**
**Our Team**
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. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?
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 Advance 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)
#LI-Hybrid #BarcelonaHub #SanofiHubs
# Pursue *progress*, discover *extraordinary*
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)!
The salary range for this position is :€70 800,00 - €94 400
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
Key Responsibilities
- Provide scientific and technical leadership in machine learning and AI for pharmaceutical product development
- Employ cutting-edge analytical and computational approaches to drive evidence-based insights
- Create frameworks for generating reusable models and insights across big-data and small data sets
- Merge diverse data streams including health, surveillance, trend, sensor, and imaging data
- Implement and execute computational and statistical methodologies in Advanced Analytics for RWE
- Apply capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text-mining/NLP, and data-mining
- Plan and deploy methodological standards, standardized processes, demos, and POCs
- Contribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem
Requirements
- 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
Skills Required
Machine LearningDeep LearningStatistical ModellingData MiningText MiningNLPGraph DatabasesDistributed AnalyticsSimulationEnglishCommunicationCollaborationTeamwork
Benefits
- Company employee benefit programs
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