Clario, part of Thermo Fischer Scientific, is looking for a Full Stack Developer.
This role sits at a very practical and impactful intersection: you won’t build AI models—but you will make them usable in the real world.
We are developing an MVP on our platform (NXT) to onboard AI-driven RBQM (Risk-Based Quality Management) solutions in cardiology. These solutions are created by data scientists and domain experts but without the right engineering layer, they never reach end users.
That is where you come in.
You will help build the “last mile” between machine learning and clinical application, turning models into reliable, scalable and usable products that support clinical trial teams in making better decisions.
What We Offer
What You'll Be Doing
Build the integration layer for AI solutions
Develop services and APIs that enable ML models to be deployed and consumed within the platform
Translate data science outputs into production-ready components
Full stack application development
Implement frontend and backend components for new platform capabilities
Ensure clean integration between UI, services, and underlying data pipelines
Collaborate across teams
Work closely with data scientists, architects, and product stakeholders
Help shape how RBQM analytics are exposed and used in practice
Contribute to a scalable MVP
Build with pragmatism: balancing speed (MVP) with maintainability
Improve performance, stability and usability over time
Support DevOps / deployment workflows
Contribute to CI/CD pipelines and cloud-based deployments
Help ensure services are robust and production-ready
What we are looking for
Solid experience in full stack development (typically ~3–6 years)
Strong skills in:
Backend development with C# .Net
Frontend development Angular
Exposure to AWS PaaS
Containerization (Kubernetes and AWS EKS)
Version control, CI/CD workflows and DevOps practices
Experience in PostgreSQL
Experience in building and consuming REST APIs
Understanding of microservices or service-oriented architectures
Ability to work independently in a fast-moving, somewhat ambiguous MVP environment
Nice to have (not required)
Basic understanding of MLOps concepts (e.g., model deployment, APIs for inference)
Experience in data-heavy applications or analytics platforms
Knowledge in Messaging Middleware like RabittMQ
Any background in healthcare, life sciences, or regulated environments
At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
