Statistician, Process Analytics

BioSpace; Swiftwater (Monroe County); On-site; USD 90,000 - 130,000; Full time

Job summary

Sanofi is seeking a Statistician, Process Analytics to support the MSAT Data Science Flu team in Swiftwater, PA. You will help deliver insights into vaccine manufacturing process performance and robustness, collaborating across Manufacturing, Improvement, and QC for robust processes.

The role emphasizes statistical thinking, DOE and SPC methods, and data-driven process validation to ensure scalable, compliant operations. Join a global network advancing life-saving vaccines.

Qualifications

• Bachelor's or Master's in Statistics, Mathematics, Natural Science, Computer Science, or a related field.
• 2 years of relevant experience required; academic experience considered.
• Basic knowledge in quality by design, process control, and design of experiments.
• Excellent interpersonal skills with teamwork and stakeholder relationships.
• Quantitative skills including programming and handling diverse data.

Responsibilities

• Contribute to the definition of critical process attributes for process validation.
• Communicate and interpret documented study results within the platform or project.
• Implement instructions on new or improved processes to the appropriate audience.
• Facilitate statistical process control training for Manufacturing & Supply personnel.
• Promote application of SPC for life-cycle design and industrialization of processes and test methods.

Skills

Statistical thinking

DOE basics

SPC basics

Process control knowledge

Programming

Education

Bachelor's/Master's in Statistics or related

Tools

R

Python

Job description

Job Title: Statistician, Process Analytics

Location: Swiftwater, PA

About The Job

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 at scale. In Manufacturing & Supply, youll help reimagine how life-changing treatments reach people everywhere, faster.

About Sanofi

Were an R&D-driven, AI-powered biopharma company committed to improving peoples 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 peoples lives.

Main Responsibilities

• Contribute 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 Job Responsibilities 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

Basic Qualifications

• Bachelor's or Master's degree of Science in Statistics, Mathematics, Natural Science, Computer Science, or a related field.
• 02 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 its 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 andwellness 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 Affiantive 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, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.