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

Reliability Engineer - VIE Contract

• Location: China, Beijing
• Target start date: 01/03/2026

iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.

PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.

PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide. Therefore, only applications that are submitted in English will be considered. Please make sure to apply with your personal email address.

About the job

As Reliability Engineer VIE within our Engineering & Maintenance team, you will manage the Reliability Process implementation activities from Basic Engineering down to Detailed Design for Program in accordance with Environmental, Health, and Safety (EHS), Quality, Business & Users requirements focus on design to cost solutions & process replication for Glargine in China. Ready to get started?

Join a global network that powers how Sanofi delivers — seamlessly, purposefully, and at scale. 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:

• Design the predictive strategy for global maintenance plan of the two facilities in a fully digital environment in the program Reliability and digitalization team.
• As input, take in account impacts of potential failures on the 14 steps of insulin production and its value stream. 
• Collaborate with automation and digital teams for integration of Smart Instrumentation and (IoT) devices. Contribute to site historian parameterization. 
• Define the advanced diagnostics data to collect. A good knowledge of key parameters on the process and Failure Mode and Effects Analysis (FMEA) analysis are to take in account. 
• Implement conditional activities in substitution of systematic activities in maintenance instructions. Consider predictive approach if historic data is available in the monitoring solution. Support of AI tools or data scientists’ analysis is a plus.
• Build a structured process to manage workorder based on pre-alarming of conditional/predictive monitoring. Take in account planning, scheduling and execution phases through the Computerized Maintenance Management System (CMMS), integer Key Performance Indicators (KPIs) on costs and technical availability. 
• Lead the transfer management of new plans to local Chinese organization with operational maintenance teams. Take in account local environment for external support and resources. 
  

About you

Experience:

• Worked more than 2 years in technical positions in industrial sites, including at least one experience in Engineering and Maintenance on a large-scale production environment. 
• Experience and knowledge of Good Manufacturing Practices (GMP), Food and Drug Administration (FDA), and EU guidelines especially data integrity requirements.
• Experience in working in a large, complex matrixes environment with global processes and governance structures.

Soft and Technical Skills:

• Rigorous, organized, factual and results-oriented. 
• Good general technical knowledge in mechanical and automation, ability to interact with experts, especially instrumentation and digital. 
• Ability to “speak with data” and data flow management in a 0-paper environment. Experiences with some streaming engines solutions, ERP and CMMS Systems, historian solutions or data lake solutions.
• Act for innovation, initiating new and improved ways of working.

Education:

• Master’s degree in industrial engineering domain.

Languages:

• Fluent English (written and verbal).
• Chinese, German and/or French would be a plus.

Why choose us?

• Be part of a pioneering biopharma company where patient insights shape drug development.
• Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
• Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
• 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.
• Every year, we distribute over 4 billion units of medicines and vaccines, ensuring people worldwide receive the treatments they trust.

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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.