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Automation & Advanced Modeling Senior Scientist Process Engineering H/F - 34
Description du poste
- Sanofi
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Montpellier - 34
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CDI
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Publié le 20 Janvier 2026
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 CMC Synthetics Process Engineering team, you'll design, program, and deploy intelligent systems that define the next generation synthetic drug substance processes. Ready to get started?
You'll be at the forefront of transforming CMC development and laboratory science through cutting-edge automation and computational modeling. By applying in-silico tools to complex synthetic challenges, you'll accelerate process characterization, optimization and technology transfer to industrial manufacturing. This role is where hands-on lab chemistry meets digital innovation, positioning you as a key driver of our digital transformation in CMC.
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 synthetic drug substance development
- Develop advanced process models utilizing mechanistic, statistical, and hybrid approaches to predict and optimize synthetic biopharmaceutical manufacturing processes, ensuring a seamless technology transfer from the lab to pilot and industrial-scale manufacturing sites.
- 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
- 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, Synthetic Organic Chemistry, Process Engineering, Automation Engineering, or related field. Proven track record in laboratory automation and process modeling within synthetic drug substance-, pharmaceutical-, or biotechnology processes. Experience with technology transfer and scale-up activities.
- 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, laboratory reactors, 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, Organic Chemistry, 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: Professional working proficiency preferred
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
Pursue Progress. Discover Extraordinary
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and dowhat'snever-been-done-before.You'llhelp push boundaries, challengeconvention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives?Let'sPursueProgressand DiscoverExtraordinary- together.
At Sanofi, weprovideequal opportunities to all regardless of race,color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
#LI-FRA
#LI-Hybrid
La diversité et l'inclusion sont les piliers de la manière dont Sanofi fonctionne et font partie intégrante des valeurs de la société. Nous respectons la diversité de nos collaborateurs, tout comme celle de leurs parcours et expériences. Afin de bénéficier de la richesse qu'apporte la diversité, Sanofi s'engage à donner l'exemple en matière d'inclusion et à favoriser un environnement de travail où les différences peuvent prospérer et contribuer à aider les patients à retrouver une vie meilleure.
Dans le cadre de son engagement diversité, Sanofi accueille et intègre des collaborateurs en situation de handicap.
Compétences requises
- Python
- Reporting
- C#
- MATLAB
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