Jobs

Description

Hybrid working model with a minimum of three days per week on site in Waltham, MA.

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 customer-oriented mindset.
• Proven experience deploying and operating applications in production.
• Python programming skills. GitHub Actions and CI/CD pipeline implementation.
• Kubernetes-based container orchestration.
• GitOps practices (ArgoCD or equivalent). Dev Ops, automation.
• Production deployment of machine-learning models and MLOps practices.
• API and/or web application development.
• Production deployment of machine-learning models and MLOps practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP)

 

 

Preferred qualifications/ nice to Have Skills:

• 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. 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 open-source or technical communities.
• Experience designing scalable data engineering solutions.
• Fluency in French 

 

 Description

• 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 and 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 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 production-grade 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 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.

 

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 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.

 

Technical Skills:

• GitHub Actions and CI/CD pipeline implementation.
• Kubernetes-based container orchestration.
• GitOps practices (ArgoCD or equivalent).
• Strong Python programming skills.
• API and/or web application development.
• Production deployment of machine-learning models and MLOps practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).

 

Language:

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

 

Preferred Qualifications

• 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.
• Experience designing scalable data engineering solutions.

 

What We’re Looking For

• 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.

 

Why Join Client Vaccines R&D

• Contribute at the forefront of mRNA vaccine innovation and AI-enabled pharmaceutical R&D.
• Collaborate with world-class scientists and engineers in a purpose-driven organization.
• Make a direct impact on global public health.
• Live Clients values: Aim Higher, Act for Patients, Be Bold, and Lead Together.
• Access state-of-the-art R&D facilities and digital platforms.

 

Work Environment

• 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 and delivery.
• Strong cross-functional collaboration across Vaccines R&D, Digital, and CMC.