Basic
RWE Data Scientist
Posted: 24.05.2026
Closing date: 08.07.2026
Job reference: 59fb406e14b93386e64ab4504511b297
Job information
Location
Barcelona, Barcelona, ESP, Spain
Company
Xerox
Client / Employer
Sanofi Group
Job reference
59fb406e14b93386e64ab4504511b297
Listing type
Basic
EU work permit required
No
Posted
24.05.2026
Closing date
08.07.2026
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. We are an R&D driven, AI-powered biopharma company committed to improving people’s lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people’s lives. We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi (https://youtu.be/96EwNjb1TLo) Start a career that makes a difference. Reinvention is in our DNA. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities. This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.
Skills
apply blended learning
apply for research funding
apply research ethics and scientific integrity principles in research activities
build recommender systems
Business Analytics
Business Intelligence
collect ICT data
communicate with a non-scientific audience
Computational Biology
Computer Simulation
conduct research across disciplines
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data visualisation software
define data quality criteria
deliver visual presentation of data
demonstrate disciplinary expertise
design database in the cloud
design database scheme
develop data processing applications
develop professional network with researchers and scientists
Digital Curation
disseminate results to the scientific community
draft scientific or academic papers and technical documentation
empirical analysis
establish data processes
evaluate research activities
execute analytical mathematical calculations
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
increase the impact of science on policy and society
information categorisation
Information Extraction
integrate gender dimension in research
integrate ICT data
interact professionally in research and professional environments
interpret current data
LDAP
LINQ
make data-driven decisions
manage data
manage data collection systems
manage findable accessible interoperable and reusable data
manage ICT data architecture
manage ICT data classification
manage intellectual property rights
manage open publications
manage personal professional development
manage research data
Marketing Analytics
mathematical modelling
MDX
mentor individuals
multidisciplinary research
N1QL
normalise data
online analytical processing
operate open source software
perform data cleansing
perform data mining
perform project management
perform scientific research
promote open innovation in research
promote the participation of citizens in scientific and research activities
promote the transfer of knowledge
publish academic research
quantitative analysis
query languages
report analysis results
Research Design
resource description framework query language
Scientific Computing
scientific literature
Social Network Analysis
SPARQL
speak different languages
State Estimation
statistical modeling techniques
Statistics
synthesise information
teach in academic or vocational contexts
think abstractly
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
write scientific publications
XQuery