Working Student – AI Data Management

About Snke

Snke, established in 2020 and based in Munich, is building healthtech products that rely on scalable data and AI-driven analytics. The company works across large platforms, digital health, and software-led medical technology, providing a trusted orchestration layer that helps healthcare providers, societies, registries, agencies, and other partners deploy advanced solutions for safer, more efficient interventions and better patient outcomes. In addition to its Munich headquarters, Snke has teams in Chicago, Heidelberg, San Diego, and Tel Aviv, and emphasizes international collaboration to create practical, enabling, and holistic technologies for healthcare.

Role Overview

In this position, you will support the Research & Development team in Munich on AI-based medical image analysis initiatives. The work focuses on creating varied, reliable, and large-scale datasets that power AI solutions for everyday clinical challenges.

Key Responsibilities

• Prepare data to a high standard for different AI development processes
• Help shape and verify AI projects while producing organized and easy-to-follow documentation
• Assist data project managers with day-to-day operational coordination
• Contribute throughout the complete development journey, from the first idea through final validation
• Work with annotation and validation tools to maintain strong data and model quality

Requirements

• Academic exposure to biomedical or bio-medical imaging
• Strong curiosity about medical imaging AI and a drive to contribute to innovation in this area
• Analytical thinking, along with the ability to collaborate and communicate effectively in a team
• Working knowledge of Python and a willingness to grow further in it
• Organized, self-directed working approach with dependable execution
• Comfortable using English in a professional setting

Why Join Snke

• Be part of a supportive international environment built on trust and shared values
• Take on work that contributes meaningfully to global healthtech and improved clinical decisions
• Benefit from flexible hours and a hybrid working arrangement within Germany
• Use the parking garage and secure underground bike storage
• Access the subsidized company restaurant and the on-site café
• Join regular team, after-work, and company gatherings
• Work from a centrally located modern office that includes a 212 m² rooftop terrace

Application Note

Candidates are asked to submit an online application and include their earliest possible start date.