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Mindpeak

AI-driven visual diagnostics for cancer pathology

Full-Stack Software Engineer - Multiple Teams

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeHamburg, GermanyNo salary listedIn-person

About the Job

Requirements

  • A master's degree in Computer Science or a related field, or equivalent practical experience.
  • At least 3 years of experience developing production-ready web applications, with a proven track record of delivering impactful features.
  • Strong proficiency in TypeScript and JavaScript.
  • Solid experience with Python and Django.
  • Fluent English, both written and spoken.
  • Strong analytical and problem-solving skills, a collaborative mindset, and the ability to take ownership and work independently.
  • An interest in medical technology and willingness to learn about digital pathology and laboratory workflows.

Responsibilities

  • 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 applications, ensuring performance, reliability, and scalability.
  • Shape and improve product features by collaborating with pathologists, product teams, and designers and turning real-world feedback into practical solutions.
  • Ship high-quality features from prototype to production.
  • Improve the performance, accessibility, and reliability of complex visualizations.
  • Own parts of the annotation pipeline user interface and help automate repetitive steps.
  • Manage priorities and deadlines in an agile environment.
  • Collaborate across teams to make scalable, user-centered product decisions.

Desired Qualifications

  • Experience with React.
  • Familiarity with Linux and Docker.
  • Experience with OpenLayers, data-intensive user interfaces, Canvas, WebGL, D3.js, or frontend performance optimization.

About the Company

Mindpeak

AI-driven visual diagnostics for cancer pathology

Mindpeak offers an AI-based visual diagnostic platform that helps pathologists analyze breast cancer by identifying tumorous regions and detecting cancer cells to provide affordable diagnostic tools in clinical settings. Users upload digital pathology slides; the AI analyzes the images to segment tumors, detect malignant cells, and compute metrics like tumor size and cell counts, with results shown in an interpretable report that fits existing workflows. The platform emphasizes ease of use and cost-effectiveness to bring quantitative microscopy into everyday clinical practice, unlike systems that target only specialized labs. The goal is to improve breast cancer diagnostics by delivering accurate, scalable visual analysis tools that enable faster, more consistent diagnoses.

Company size
11-50
Company stage
Series A
Total funding
$19.7M
Headquarters
Hamburg, Germany
Founded
2018

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