Senior System Engineer

Job 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 next‑generation vaccines.
• With around 400 dedicated employees across Cambridge, Massachusetts (USA) and Marcy‑l’Étoile, France, the CoE integrates end‑to‑end 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 machine‑learning approaches such as lipid nanoparticle prediction and mRNA sequence optimization are embedded in the research strategy to accelerate scientific decision‑making and development timelines.

• The Senior Systems Engineer – Production AI will join the MRNA Systems Engineering team to design, build, and operate production‑grade systems based on AI and machine‑learning that accelerate mRNA vaccine research and development.
• Working in a highly agile, cross‑functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to building scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.

• Design, develop, deploy, and operate production‑grade AI/ML systems and data pipelines in an agile environment.
• Build, maintain, and optimize CI/CD pipelines using Git Hub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using Git Ops practices (e.g., ArgoCD).
• Develop user‑facing 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 non‑technical stakeholders.

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.

• Minimum of 5 years of professional software engineering experience.
• Demonstrated delivery of production‑level systems with measurable impact.
• Strong experience working in agile environments with a customer‑oriented mindset.
• Proven experience deploying and operating applications in production.

• Git Hub Actions and CI/CD pipeline implementation.
• API and/or web application development.
• Production deployment of machine‑learning models and MLOps practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).

• English: fluent (mandatory). French: nice to have.

• Experience in pharmaceutical, biotechnology, or life‑sciences 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 open‑source or technical communities.
• AI assisted software engineering experience.
• Agents skills dedicated format, write small passages for skills.

• Client 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.

• Hybrid working model with a minimum of three days per week on site in Waltham, MA.
• Agile and fast‑paced team environment focused on rapid iteration…