Injectables and Tech Transfers Data Scientist Statistician

Descripción del puesto:

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

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 and check out our Diversity Equity and Inclusion actions at sanofi.com!
The salary range for this position is :EUR63 200,00 - EUR84 267
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