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Full-stack Developer Python (m/f/d), AI-Based Cancer Diagnostics

Mindpeak Gmbh

Hamburg

Vor Ort

EUR 50.000 - 70.000

Vollzeit

Vor 13 Tagen

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Zusammenfassung

Mindpeak Gmbh is seeking a Full-stack Developer to join their team in Hamburg. In this role, you'll be involved in both backend and frontend development to advance AI in cancer diagnostics. You'll work on developing APIs, optimizing user interfaces, and collaborating across teams on innovative projects aimed at revolutionizing medical image analysis. The position offers a dynamic work culture, opportunities for impactful contributions, and the chance to make a difference in healthcare through technology.

Leistungen

Open, creative work culture with flat hierarchies
Fast decision-making processes
Close collaboration with an international team
Central Hamburg office with harbor views
Diverse and meaningful projects

Qualifikationen

  • Education: MSc in Computer Science (or equivalent experience).
  • Experience: Product-impactful professional experience.
  • Languages: Fluent English (German is a plus).

Aufgaben

  • Create backend APIs to serve AI models efficiently.
  • Build and refine UI/UX features based on mockups.
  • Optimize data annotation pipeline automation.

Kenntnisse

Proficiency in Python
Proficiency in JavaScript/TypeScript
Strong analytical mindset
Team collaboration
Curiosity about lab technologies

Ausbildung

MSc in Computer Science

Tools

Docker
AWS
React

Jobbeschreibung

Welcome to Mindpeak!

Your profile

Why us?

Any questions?

Interested?

Application Details
  • Send: CV, university certificates, transcripts, references, salary expectations, and earliest start date
  • Contact: jobs@mindpeak.ai
  • Website: mindpeak.ai
  • Note: Direct applicants only; agencies are not considered

We're Looking For Someone Who:

What You Will Gain:

Your profile

Candidate Profile
  • Education: MSc in Computer Science (or equivalent experience)
  • Experience: Product-impactful professional experience
  • Skills:
    • Proficiency in Python and JavaScript/TypeScript
    • React (a plus)
    • Linux and Docker (a plus)
    • Strong analytical mindset and team collaboration
    • Independent project ownership
    • Curiosity about lab technologies (e.g., whole-slide scanners)
Languages: Fluent English (German is a plus)
Ready to Make a Difference?

What Mindpeak Offers
  • Chance to revolutionize cancer diagnostics
  • 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

Join Our Mission to Combat Cancer with Cutting-Edge AI

Your mission

Your Tasks

Help Advance AI in Cancer Diagnostics

Company Overview

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.


Position Summary

Role: Full-stack Developer (Python, JavaScript/TypeScript)
Focus: Roughly 50% backend and 50% frontend development
Team: Part of the development team, collaborating with the machine learning and product design teams

You’ll work on:

  • Creating backend APIs to serve AI models efficiently
  • Building and optimizing UIs for large-scale visualizations (e.g., millions of cell predictions)
  • Implementing UI features based on direct pathologist feedback
  • Automation tools for data annotation
  • Using modern tools such as Docker, AWS, Python, and React

Your Responsibilities
  • Optimize data annotation pipeline automation
  • Build and refine UI/UX features based on mockups.
  • Manage project priorities and deadlines.
  • Improve the efficiency of pathology image visualizations.
  • Collaborate across teams for product integration.
  • Make strategic technology choices for scalable solutions.
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