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

Job Title: Quality Systems FFIP Predictive Analysis

Location: Swiftwater, PA

About the Job

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.

Sanofi, Swiftwater, PA site is the vaccines division of Sanofi. We believe in a world in which no one suffers or dies from a vaccine-preventable disease. The Swiftwater site is located in northeast Pennsylvania and is home to the production of over 140 million doses of vaccine each year.

The FFIP (Formulation, Filling, Inspection and Packaging) QS (Quality Systems) department drives the vaccines production Quality performance. QS monitors lot and campaign trends and implements opportunities for equipment, product, and production improvement(s). FFIP QS implements meaningful and robust CAPAs to improve overall Quality and reduce recurrence of events.

A close collaboration with Quality, Manufacturing, Business Systems, and Continuous Improvement to ensure that the processes for new vaccines are as innovative and standardized as possible to guarantee efficacy, cost-effectiveness, and rapid time to market of quality vaccines. It is a multi-disciplinary function that provides expertise in formulation and filling manufacturing process; continuous process monitoring, process equipment troubleshooting and meet the Health Authorities commitment.

The Data Engineer within the FFIP QS (Formulation, Filling, Inspection and) function of Manufacturing and Supply (M&S) Vaccines will turn data into information, information into insight and insight into business decisions that will enable Manufacturing to optimize the production cycle(s) and equipment. In addition to applying advanced data science and teamwork skills on a daily basis, this role interacts cross functionally to scientifically predict the performance and outcomes associated with each of the products manufactured within FFIP.

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities

• Assist in solving process related problems by ensuring the collection, management, and analysis of quality data.

• Conduct quality assurance of collected data and expand the core concepts of data governance within the organization.

• Responsible for automating data pipelines and creating dashboards/reports that will help stakeholders make data-driven decisions.

• Assist with activities such as Statistical Process Control, data mining, and process modeling.

• Provide support for internally managed servers.

• Participate in modeling initiatives through data acquisition and visualization of key results AND life cycle improvements of existing vaccines processes.

• Support the global evolution of data science and support its implementation at the site.

• Promote innovation at the site.

About You

• 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.

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.