Full Stack Developer (all)

About the role

As a 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.

What you'll do

• 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, radiologists, and ML teams.

What you'll need

• 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.

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.

What they offer

• Work remotely or from the office in Berlin-Kreuzberg, whatever suits you best.
• Personal benefits budget to choose perks that suit you.
• Work that helps make disease diagnosis faster, more precise, and more manageable.
• Highly motivated, interdisciplinary team with fast decision-making processes.