Manufacturing and Supply
Where the
miracles of
science are made
a reality for patients
Injectables and Tech Transfers Data Scientist Statistician
At a glance
Our teams produce and deliver over 4 billion units of medicines and vaccines every year, ensuring every breakthrough gets to the people who need it most.
Our state-of-the-art facilities, AI-powered smart factories, and cutting-edge automation are redefining what’s possible: ensuring treatments reach patients faster, safer, and more sustainably than ever before. This is where your skills, ambition, and passion can shape the future of healthcare.
Job Title: Injectables and Tech Transfers Data Scientist Statistician
- Location: Waterford, Ireland
- Job Type: Full-time, regular
- Work Arrangement: Hybrid - 3 days on-site, 2 days remote
About the Job
As a Data Scientist Statistician, you'll be on a mission to enable Injectables sites and tech transfer projects to reach operational excellence in process development and optimization through an AI & data-driven organization.
Ready to get started?
Join a global network that powers how Sanofi delivers - seamlessly, purposefully, and at scale. In Manufacturing & Supply, you'll help reimagine how life-changing treatments reach people everywhere, faster.
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
Main responsibilities:
- Apply data science expertise to solve related problems using data-driven techniques (Machine Learning, statistics, text-mining/NLP, forecasting, etc.).
- Perform data analysis and visualization to assist with problem-solving and process optimization.
- Carry out Advanced Kinetic Stability (AKM) modelling analysis within the injectables and Tech Transfer platform.
- Support Digital Twin/ Process Modelling implementation and act as the DSD representative for Injectables and Tech Transfer projects.
- Deploy and sustain best practices in statistical approaches/modelling and utilisation across DSD Injectables network.
- Participate in the development of site statistical systems, and rollout of support across the DSD Injectables to upskill across the network.
- Provide oversight of the methods in which statistical expertise are applied to activities within the DSD Injectables.
About You
- Bachelor's degree in Statistics, Biostatistics, Computer Science, or Applied Mathematics, with experience as a Statistician or Data Scientist in a GMP-regulated environment.
- Strong understanding of the application of statistics and data analytics within a manufacturing setting, with familiarity with regulatory statistical expectations.
- Proficient in statistical analysis packages, particularly Minitab and/or JMP, with solid problem-solving and data analytical skills.
- Knowledge of the various stages of sterile manufacturing, from process development through to inspection, packaging, and tech transfer.
- Proven ability to influence and communicate effectively across multidisciplinary and multicultural teams, with strong interpersonal skills.
- Flexible and adaptable, with the ability to prioritise and manage workload effectively in a fast-paced, dynamic environment.
Why choose us?
- Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply.
- Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale.
- Transform lives worldwide by delivering life-changing treatments anywhere, anytime.
- Grow, thrive, and make an impact in a workplace that empowers you to bring your best self every day, with pride.
#LI-EUR
Pursue Progress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com
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.
Find out more about this location
Why work with us
- We’re problem-solvers and pioneers. United by the belief that everyone deserves a healthier future. We create best-in-class vaccines that prevent disease and protect lives.
- Innovation drives us. From AI and mRNA to next-gen science, we push the boundaries to deliver first- and best-in-class vaccines for infectious diseases worldwide.
- Growth happens here. With bold investments in R&D and world-class facilities, Sanofians across the entire vaccine lifecycle are shaping the future of global health.
- We do what’s right. Sustainability and DE&I drive our positive global impact—because the diverse communities Sanofians represent are the patients we serve.
All-in on diversity
At Sanofi, diverse perspectives fuel the best solutions for patients. Hear from Monique Vessey, our Supply Chain Transformation Leader, on how her background shapes her approach to delivering life-changing medicines.
"Manufacturing and Supply is the bridge between the science that happens in research laboratories and the people and communities we serve."
Brendan O’Callaghan
Executive Vice President of Manufacturing and Supply
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