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Salary
≈ $58k – $137k per year (Estimated)
Location
In office (Hamburg)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 18, 2026. Mindpeak scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Mindpeak transforms tissue into high-dimensional data, enabling the discovery of AI-driven biomarkers that guide targeted therapies and power precision medicine.

Company Overview

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.

Position Summary

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 on

  • Build 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.

Your Responsibilities

  • 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.

Your Profile

  • 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.

What Mindpeak Offers

  • 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.

Application Details

Please send us:

  • CV

  • University certificates and transcripts of records

  • Job references

  • Salary expectations

  • Earliest possible starting date

Contact:

Note: Direct applicants only. We do not work with recruiting agencies for this position.

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