Full Stack Engineer (AI Platform / RBQM)

Visa Hunt; Belgique; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Remote/hybrid work

Benefits package

Résumé du poste

Clario, part of Thermo Fisher Scientific, is seeking a Full Stack Developer to bridge AI models and clinical applications on the NXT platform. You will work on MVP features, building the integration layer between ML outputs and production-ready services, with a focus on reliability, scalability, and usability in a healthcare context.

You’ll collaborate with data scientists, architects, and product stakeholders to deploy services and APIs, while contributing to CI/CD pipelines and cloud

Qualifications

• 3–6 years of full stack development experience.
• Strong C#/.NET backend skills.
• Frontend development with Angular.
• Experience with AWS PaaS and containerization.
• Experience with PostgreSQL and REST APIs.
• Understanding of microservices architectures.
• Ability to work independently in a fast-moving MVP environment.

Responsabilités

• Build the integration layer for AI solutions.
• Develop services and APIs for model deployment.
• Translate data science outputs into production components.
• Deliver full stack app features for the platform.
• Ensure UI, services and data pipelines integrate smoothly.
• Collaborate with data scientists, architects and product stakeholders.
• Contribute to CI/CD pipelines and cloud deployments.
• Maintain performance and reliability of MVP.

Connaissances

Full stack development

C# .Net

Angular

AWS PaaS

Kubernetes

CI/CD

REST APIs

PostgreSQL

Microservices

MVP environment

Outils

Kubernetes

AWS EKS

PostgreSQL

Description du poste

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

• Competitive compensation

• Attractive benefits (security, flexibility, support and well-being)

• Remote or hybrid working

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.