Manufacturing and Supply
Wo Wunder
der Wissenschaft
für Patient*innen
Realität werden

Job Title:  Statistical Data Scientist - Injectables and Tech Transfer Manufacturing

• Location: Swiftwater, PA

About the Job:

As a Statistical data Scientist - Injectables and Tech Transfer. , 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.

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

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, or any Similar and relevant field.

• Master's degree would be preferred.

• 3+ years of hands-on experience as a Statistician or Data Scientist in a GMP-regulated manufacturing environment. Academic or research experience may be considered if conducted within the pharmaceutical industry.

• 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 prioritize and manage workload effectively in a fast-paced, dynamic environment.

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 wellness 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 Affirmative 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.

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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.

Pursue Progress. Discovery Extraordinary.

Werde Teil von Sanofi und starte mit uns in eine neue Ära der Wissenschaft – wo dein persönliches Wachstum genauso wegweisend ist wie unsere Arbeit. Wir investieren in dich, damit du weiterkommst, schneller denkst und Dinge möglich machst, die vorher undenkbar waren. Du wirst Grenzen verschieben, Gewohntes hinterfragen und smarte Lösungen entwickeln, die direkt bei den Menschen ankommen, für die wir da sind. Bereit, die Wunder der Wissenschaft zu jagen und Leben zu verbessern? Dann lass uns gemeinsam Großes bewegen – und das Außergewöhnliche entdecken.

Bei Sanofi stehen allen die gleichen Chancen offen – unabhängig von Herkunft, Hautfarbe, Religion, Geschlecht, Nationalität, sexueller Orientierung, Alter, Staatsangehörigkeit, Familienstand, Behinderung, Geschlechtsidentität, Veteranenstatus oder anderen gesetzlich geschützten Merkmalen.