Statistician, Process Analytics
Listed on 2026-09-08
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Engineering
Quality Engineering, Process Engineer
Job Title:
Statistician, Process Analytics
Location:
Swiftwater, PA
As Statistician – Process Analytics within the international Manufacturing Science, Analytics and Technology (MSAT) Data Science Flu team, you will help providing deep insights into Flu vaccine manufacturing process performance and robustness.
The mission of MSAT is to deliver robust and efficient process & testing with associated know-how transfer to Manufacturing & Supply and Quality Control (QC). MSAT teams provide daily support, for Manufacturing, Continuous Improvement and QC, striving for industrial performance excellence.
Join a global network that powers how Sanofi delivers, seamlessly, purposefully, and Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster.
About SanofiWe’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 ResponsibilitiesContribute to the definition of critical process attributes for process validation
Communicate and interpret documented study results within the platform or project
Implement instruction on new/improved processes to appropriate audience
The JobResponsibilities Include:
Facilitates the use of statistical thinking promoting the concepts that: all work occurs in a system of interconnected processes, variation exists on all processes, understanding and reducing variation are keys to success
Basic knowledge of Design of Experiment (DOE), Statistical Process Control (SPC), Process Control and Applied Statistics
Facilitate statistical process control related training for Manufacturing & Supply personnel
Promotes application of Statistical Process Control for life‑cycle design and industrialization of processes, products and associated test methods for Phase 3 and licensed products to assure commercialization of robust, compliant, and efficient processes and test methods for vaccines and biopharmaceuticals
Technical input and/or gap analysis of internal and external Quality/Regulatory guidelines pertaining to process control
About You Basic QualificationsBachelor's or Master's degree of Science in Statistics, Mathematics, Natural Science, Computer Science, or a related field.
0–2 years of relevant experience required; academic experience, coursework, and school projects are considered.
Basic knowledge in quality by design, process control, and design of experiments
Excellent interpersonal skills with an understanding of team‑culture and building strong relationships with stakeholders
Quantitative skills to include programming and working with a variety of data outside of an academic setting
Why choose us?Bring the miracles of science to life alongside a supportive, future‑focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well‑crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high‑quality healthcare, prevention and well‑ness programs and at least 14 weeks’ gender‑neutral parental leave.
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.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affrmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender,…
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