Mindpeak is a Hamburg-based AI company dedicated to democratizing cancer diagnostics. Our software supports pathologists in detecting cancer faster and more accurately by applying state-of-the-art deep learning to medical images. Our AI solution is the first to be implemented in clinical histopathology for primary diagnostics in the USA and is used in routine workflows around the world.
We tackle a central challenge in modern healthcare: a growing demand for medical image analysis with a static number of cancer experts. By providing powerful, robust tools for visual diagnosis, we help pathologists focus on what only humans can do best—while our technology takes care of the rest.
Role: Fullstack Developer (TypeScript/JavaScript, React, OpenLayers, Python, Django, Postgres)
Focus: Building modern web UIs for AI-assisted pathology workflows, including their backend. Managing and maintaining our huge annotation data platform.
Team: Close collaboration with product design, machine learning teams and annotators.
What you'll work onBuild and optimize intuitive user interfaces for visualizing complex medical imaging data and AI-generated results, including millions of cell-level predictions.
Turn complex AI outputs into clear, actionable insights for pathologists and other medical experts.
Develop tools and lightweight interfaces that simplify data collection, annotation, and review workflows.
Design, build, and integrate backend APIs that connect AI models with our applications, ensuring performance, reliability, and scalability.
Shape and improve product features through close collaboration with pathologists, product teams, and designers, turning real-world feedback into practical solutions.
Ship high-quality features, from prototype to production.
Improve performance, accessibility, and reliability of complex visualizations.
Own parts of the annotation pipeline UI and help automate repetitive steps.
Manage priorities and deadlines in an agile environment.
Collaborate across teams to make scalable, user-centered product decisions.
Education: Master's degree in Computer Science or a related field, or equivalent practical experience.
Experience: 3+ years of experience developing production-ready web applications with a proven track record of delivering impactful features.
Frontend: Strong proficiency in TypeScript/JavaScript; experience with React is a strong plus.
Backend: Solid experience with Python and Django.
Technical skills: Familiarity with Linux and Docker is an advantage.
Nice to have: Experience with OpenLayers, data-intensive user interfaces, Canvas, WebGL, D3.js, or frontend performance optimization.
Ways of working: Strong analytical and problem-solving skills, a collaborative mindset, and the ability to take ownership and work independently.
Curiosity: Interest in medical technology and a willingness to learn about digital pathology and laboratory workflows.
Languages: Fluent English, both written and spoken.
The opportunity to bring cancer diagnostics to a whole new level and make a real impact on patient care.
An open, creative work environment with flat hierarchies and quick decision-making.
Close collaboration with a skilled, international team and experienced management.
Diverse, engaging projects that help you deepen both your technical and domain expertise.
A centrally located Hamburg office with a beautiful view over the harbor.
Please send us:
CV
University certificates and transcripts of records
Job references
Salary expectations
Earliest possible starting date
Contact:
Email: [email protected]
Note: Direct applicants only. We do not work with recruiting agencies for this position.
Skills Required
- Master's degree in Computer Science or a related field, or equivalent practical experience
- 3+ years of experience developing production-ready web applications
- Strong proficiency in TypeScript or JavaScript
- Experience with React
- Solid experience with Python and Django
- Strong analytical and problem-solving skills
- Collaborative mindset and ability to take ownership and work independently
- Fluent English, written and spoken
- Familiarity with Linux and Docker
- Experience with OpenLayers, data-intensive user interfaces, Canvas, WebGL, D3.js, or frontend performance optimization
- Interest in medical technology and willingness to learn digital pathology and laboratory workflows
What We Do
Mindpeak's mission is to enable personalised cancer treatment through AI tissue diagnostics Our partners are leading pathology and university labs. Our team consists of world-class industry experts in machine learning and company building. Mindpeak's Impact The demand for medical image analysis is growing rapidly but the number of cancer experts remains the same - this results in growing workloads per specialist. We help cancer experts meet this challenge. We build automation tools for visual diagnosis using state-of-the-art artificial intelligence and deep learning. Our tools assist cancer experts in providing reliable and reproducible diagnoses. This frees specialists from tedious, repetitive tasks such as quantification of cells or biomarkers and allows them to focus on tasks where their human expertise is indispensable. If you want to get in touch with us send us an E-Mail via [email protected].
