Full Stack Developer (all)

As our Full-Stack Developer, you will help shape the transition of our medical annotation tooling from an integrated system into a standalone platform used across multiple products. Working across the stack, you will build and evolve a web-based annotation system for medical imaging workflows - including a browser-based 3D viewer built with Cornerstone.js and Python backend services for handling volumetric MRI data and annotations. The role combines frontend development, imaging workflows, and backend infrastructure, with a strong focus on scalability, usability, and performance for clinical experts and downstream ML use cases. YOUR RESPONSIBILITIES Lead the development of a new web-based annotation platform, built largely from scratch while adopting key functionality from the existing ecosystem. Maintain and extend our existing web-based annotation application, including integration of the Cornerstone.js-based medical viewer developed by our Software team. Design and implement a Python-based backend for annotation loading, saving, and state management of volumetric 3D imaging data. Work with 3D medical images (MRI) and segmentations, ensuring accurate and high-performance rendering in the browser. Build advanced annotation and editing tools, such as 3D region growing and brush-based workflows, and optimize platform performance across different hardware setups. Act as the technical bridge between Software team (maintain the core viewer), radiologists (annotate the datasets), and ML teams (consuming annotated datasets).

3+ years of professional experience in Full-Stack development, preferably in a startup or medtech environment. Strong frontend experience with React or similar, JavaScript (ES6+), HTML, and CSS. Experience with UI frameworks such as shadcn/ui or Tailwind, and UI patterns for high-density data. Solid backend experience with Python or similar (e.g. Node.js, C#, Go, Java), including frameworks such as FastAPI, Flask, Django, or Litestar. Strong focus on clean code, testing, and documentation. Familiar with modern DevOps practices (Docker, GitLab CI/CD). Strong problem-solving mindset and experience working in interdisciplinary teams (Software, Data, ML, and radiologists). Nice to have Experience with medical imaging libraries such as Cornerstone.js, VTK.js, or ITK.js, and familiarity with DICOM or NIfTI data formats. Hands-on experience with AWS (or similar cloud platforms) and relational databases such as PostgreSQL. Understanding of radiology workflows or experience building tools for clinical specialists.

Focus on what matters: At our company, competence, personality, and commitment are more important than formalities or the study program you chose. Your Impact: Your work helps make disease diagnosis faster, more precise, and more manageable. Your Team: Join a highly motivated, interdisciplinary team with fast decision-making processes and a collaborative atmosphere. Freedom to choose: Work remotely or from our office in Berlin-Kreuzberg - whatever suits you best. Benefits: Use your personal benefits budget flexibly and choose the perks that suit you best!

At mediaire, we are redefining healthcare with AI. Founded in 2018, we develop clinically integrated software that helps radiologists assess medical imaging data faster, more precisely, and more objectively - making a real difference in everyday clinical practice. Today, our solutions are trusted by hospitals and practices across Europe, where they save time, increase confidence, and improve outcomes for patients. Our Vision: A healthier world with universal access to accurate diagnoses. Our Mission: AI power in every scan. Confidence in every diagnosis. Efficiency that reaches every patient. At mediaire, we live by our values: Innovation, Integrity, Dedication, Customer-Centricity and Teamwork. What truly sets us apart is our team: radiologists working side by side with engineers, data scientists, and experts from medicine, technology, and beyond. This unique collaboration ensures our AI is not just innovative, but impactful in routine clinical workflows. If you're ready to shape the future of medical AI and make a real difference in healthcare - join us!