Full-Stack Software Engineer (React, TypeScript, Python/Django)

Free resume; Hamburg; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Harbor view office

Job summary

Mindpeak in Hamburg is seeking a Full-Stack Software Engineer to build modern web UIs for AI-powered pathology workflows and to maintain a large annotation data platform.

You will collaborate with design, ML, and annotators to turn complex AI outputs into actionable insights for pathologists, while delivering scalable backend APIs and performant interfaces.

Qualifications

• Master's degree in Computer Science or related field。
• 3+ years of production web app experience.
• Solid experience with Python and Django.
• Familiarity with Linux and Docker is an advantage.
• Nice to have OpenLayers, data-intensive UIs, Canvas, WebGL or D3.js.

Responsibilities

• Build and optimize intuitive UIs for visualizing medical imaging data and AI results.
• Turn AI outputs into clear, actionable insights for pathologists.
• Develop tools and lightweight interfaces for data collection and review.
• Design, build, and integrate backend APIs connecting AI models with apps.
• Shape features through close collaboration with pathologists and designers.
• Ship high-quality features from prototype to production.
• Improve performance, accessibility, and reliability of visualizations.
• Own parts of the annotation pipeline UI and automate steps.
• Manage priorities and deadlines in an agile environment.
• Collaborate across teams for scalable, user-centered decisions.

Skills

React

TypeScript

Python

Django

English (Fluent)

Web UI development

Agile teamwork

Education

Master's degree in Computer Science or related field

Tools

Linux

Docker

OpenLayers

Canvas

WebGL

D3.js

Job description

Full-Stack Software Engineer (React, TypeScript, Python/Django)

Direct company application on www.arbeitnow.com . Zero third-party aggregator forms.

Job Description

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

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.

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.