Note:
WORK ENVIRONMENT
- Hybrid working model with a minimum of three days per week on site in Waltham, MA.
- Agile and fastpaced team environment focused on rapid iteration and delivery.
- Strong crossfunctional collaboration across Vaccines R&D, Digital, and CMC.
Comment:
Open to candidates willing to relocate at their own expense Free parking site Possibility of extension, with a gap in work at the end of year (Nov/ Dec) and restart work in January English: fluent (mandatory) Primary Manager sits in France, local team will be present in EU and US Team is building a system of predictive models Software Engineer, previous experience moving models in to prediction MUST HAVE SKILLS: Education : Bachelor s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. MS and PHD accepted / Over 5 years of exp accepted Strong experience working in agile environments with a customeroriented mindset. Proven experience deploying and operating applications in production. Python programming skills. GitHub Actions and CI/CD pipeline implementation. Kubernetesbased container orchestration. GitOps practices (ArgoCD or equivalent). Dev Ops, automation. Production deployment of machinelearning models and MLOps practices. API and/or web application development. Production deployment of machinelearning models and MLOps practices. Familiarity with major cloud platforms (AWS, Azure, or Google Cloud Platform) Preferred qualifications/ nice to Have Skills: Experience in pharmaceutical, biotechnology, or lifesciences environments. Awareness of drug discovery, vaccine development, or experimental sciences. Experience with workflow orchestration tools such as Metaflow. Some knowledge in orchestration frameworks, preferred in Metaflow, frameworks, operation. AI assisted software engineering experience Agents skills dedicated format, write small passages for skills Contributions to opensource or technical communities. Experience designing scalable data engineering solutions. Fluency in French
Description:
ABOUT THE MRNA CENTER OF EXCELLENCE
Client s mRNA Center of Excellence (CoE) represents an annual investment of approximately 400 million to accelerate the development of nextgeneration vaccines. With around 400 dedicated employees across Cambridge, Massachusetts (USA) and Marcyl toile, France, the CoE integrates endtoend mRNA vaccine capabilities across Research & Development, Digital, and CMC functions. Beyond pandemic preparedness, the CoE drives innovation in mRNA technologies with a strong focus on thermostability, tolerability, and routine vaccination use cases. Advanced AI and machinelearning approaches such as lipid nanoparticle prediction and mRNA sequence optimization are embedded in the research strategy to accelerate scientific decisionmaking and development timelines.
MISSION STATEMENT
The Senior Systems Engineer Production AI will join the mRNA Systems Engineering team to design, build, and operate productiongrade systems based on AI and machinelearning and that accelerate mRNA vaccine research and development. Working in a highly agile, crossfunctional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.
KEY RESPONSIBILITIES
- Design, develop, deploy, and operate productiongrade AI/ML systems and data pipelines in an agile environment.
- Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
- Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
- Develop userfacing applications through APIs and/or graphical interfaces.
- Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
- Build and optimize compute pipelines supporting data processing and model training.
- Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
- Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
- Ensure high standards for code quality, documentation, and knowledge transfer.
- Communicate complex technical concepts clearly to both technical and nontechnical stakeholders.
REQUIRED QUALIFICATIONS
Education:
- Bachelor s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
Experience:
- Minimum of 5 years of professional software engineering experience.
- Demonstrated delivery of productionlevel systems with measurable impact.
- Strong experience working in agile environments with a customeroriented mindset.
- Proven experience deploying and operating applications in production.
Technical Skills:
- GitHub Actions and CI/CD pipeline implementation.
- Kubernetesbased container orchestration.
- GitOps practices (ArgoCD or equivalent).
- Strong Python programming skills.
- API and/or web application development.
- Production deployment of machinelearning models and MLOps practices.
- Familiarity with major cloud platforms (AWS, Azure, or Google Cloud Platform).
Language:
- English: fluent (mandatory). French: nice to have.
PREFERRED QUALIFICATIONS
- Experience in pharmaceutical, biotechnology, or lifesciences environments.
- Awareness of drug discovery, vaccine development, or experimental sciences.
- Experience with workflow orchestration tools such as Metaflow.
- Experience in mentoring or technical training.
- Contributions to opensource or technical communities.
- Experience designing scalable data engineering solutions.
WHAT WE RE LOOKING FOR
Sanofi values demonstrated impact, collaboration, and scientific curiosity. For the right candidate, depth of expertise and delivery track record are more important than the number of years of experience. The ideal candidate is a strong collaborator, comfortable working with scientific users, and motivated to build impactful digital products that advance mRNA vaccine development.
WHY JOIN SANOFI VACCINES R&D
- Contribute at the forefront of mRNA vaccine innovation and AIenabled pharmaceutical R&D.
- Collaborate with worldclass scientists and engineers in a purposedriven organization.
- Make a direct impact on global public health.
- Live Sanofi s values: Aim Higher, Act for Patients, Be Bold, and Lead Together.
Access stateoftheart R&D facilities and digital platforms.
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