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Automation & Advanced Modeling Senior Scientist Process Engineering

Sanofi
Montpellier, Francefull_timeVerifiedPosted 19 Jan 2026

About the role

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail. 

 

This job offer is accessible to all, regardless of gender. 

Job title: Automation & Advanced Modeling Senior Scientist Process Engineering

 

  • Location: Montpellier
  • Permanent contract

 

About the job

 

As Automation & Advanced Modelling Senior Scientist within our Process Engineering team, you'll design, program, and deploy intelligent systems that accelerate drug substance development. Ready to get started?

You'll be at the forefront of transforming laboratory science through cutting-edge automation and computational modeling. By integrating advanced technologies with pharmaceutical development, you'll enable faster, more efficient processes that bring life-saving medicines to patients. This role combines hands-on technical expertise with strategic innovation, positioning you as a key driver of our digital transformation in biopharmaceutical manufacturing.

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 and implement automated laboratory systems using LabVIEW and other programming platforms to streamline experimental workflows and increase throughput in drug substance development
  • Develop advanced process models utilizing mechanistic, statistical, and hybrid approaches to predict and optimize biopharmaceutical manufacturing processes
  • Integrate hardware and software systems by connecting laboratory instrumentation, sensors, and control systems to create seamless automated platforms
  • Apply data analytics and machine learning techniques to extract insights from process data, enabling predictive modeling and process understanding
  • Collaborate with cross-functional teams including scientists, engineers, and quality assurance to translate scientific requirements into automated solutions
  • Validate and qualify automated systems ensuring compliance with pharmaceutical regulations and quality standards (GMP, FDA, EMA guidelines)
  • Communicate technical findings through presentations, reports, and publications to internal stakeholders and external scientific communities

 

About you

 

  • Experience : PhD with 2+ years of relevant experience, or Master's degree with 5+ years of relevant experience in Chemical Engineering, Bioprocess Engineering, Automation Engineering, or related field. Proven track record in laboratory automation and process modeling within pharmaceutical, biotechnology, or chemical industries. Experience with technology transfer and scale-up activities is preferred
  • Soft and technical skills : Programming expertise: Advanced proficiency in LabVIEW for automation and control systems; strong skills in Python, MATLAB, or C# for data analysis and modeling. Process modeling: Experience with mechanistic modeling, statistical design of experiments (DOE), multivariate data analysis (MVDA), and process simulation tools. Laboratory instrumentation: Hands-on experience integrating and controlling analytical instruments, bioreactors, chromatography systems, and other process equipment. Automation platforms: Familiarity with SCADA systems, PLCs, robotic liquid handlers, and automated sampling systems is highly valued. Problem-solving mindset: Ability to troubleshoot complex technical challenges and develop innovative solutions. Collaboration skills: Strong interpersonal abilities to work effectively in multidisciplinary teams. Project management: Capable of managing multiple projects simultaneously with attention to detail and deadlines
  • Education: PhD in Chemical Engineering, Bioprocess Engineering, Automation Engineering, Computer Science, or related discipline; or Master's degree in the same fields with substantial relevant experience
  • Languages : English: C1 level (advanced proficiency in speaking and writing), French: Professi

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Company

Sanofi

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