Frontend Developer (JavaScript/TypeScript, React)

Role: Frontend Developer (TypeScript/JavaScript, React, OpenLayers)

Focus: Building modern web UIs for AI-assisted pathology workflows Team: Close collaboration with product design, backend, and machine learning teams

You'll work on:

• Build and optimize user interfaces that visualize large medical image datasets (e.g., millions of cell predictions) and AI outputs.
• Implement UX features that make AI results intuitive for customers and medical experts.
• Create tools and micro-UIs that streamline data collection and annotation workflows.
• Integrate with backend APIs that serve AI models; ensure smooth latency, robustness, and usability.
• Iterate quickly on features using direct pathologist feedback and product/design mockups., * 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., * Open, creative work culture with flat hierarchies
• Fast decision-making processes
• Close collaboration with a skilled, international team
• Central Hamburg office with harbor views
• Diverse and meaningful projects

Do you have experience in TypeScript?, Do you have a Master's degree?, Education: MSc in Computer Science (or equivalent experience).

Experience: 3+ years building production web apps with measurable product impact.

Skills: * Proficiency in TypeScript/JavaScript, React (strong plus) and OpenLayers (plus) * Familiarity with Linux and Docker (plus). * Bonus: experience with data-heavy UIs, canvas/WebGL/D3, or performance tuning. * Strong analytical mindset, collaboration skills, and independent ownership. * Curiosity about lab technologies (e.g., whole-slide scanners). * Languages: Fluent English (German is a plus).

Mindpeak is a Hamburg-based scale-up at the forefront of AI-driven cancer diagnostics. Their software assists pathologists in analyzing medical images more efficiently and accurately, especially in histopathology, where they've already achieved clinical deployment in the U.S. The company seeks to solve a key healthcare issue: the increasing demand for diagnostics with a limited number of expert pathologists.