Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms, digital health and software-driven medical technology. By delivering a trusted orchestration layer, Snke empowers healthcare providers, societies, registries, agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters, we have core teams in Chicago, Heidelberg, San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart, enablin and holistic-helping healthcare providers deliver meaningful change.

As Working Student – AI Data Management at Snke you will be at the forefront of AI-based medical image analysis. You will join our Research & Development team in Munich and help us build diverse, robust and large datasets that enable a swath of AI-powered solutions to everyday clinical problems.

• Prepare high‑quality data for a wide range of AI development workflows
• Support the design and validation of AI projects and contribute to clear, structured documentation
• Assist data project managers in their daily operational tasks
• Accompany the full development cycle, from initial concept to final testing 
• Utilize annotation and validation tools to ensure data and model quality

• Background in (Bio)medical imaging 
• Strong interest in medical imaging AI and a passion for driving innovation in the field
• Analytical mindset paired with strong teamwork and communication skills
• Python knowledge and the will to increase your proficiency
• Structured and independent working style with a high level of reliability
• Good command of English in a professional environment

• A supportive, international team connected by shared values and a culture of trust
• Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes
• Flexible working hours and a hybrid work model within Germany
• Parking garage and secure underground bike storage
• Subsidized company restaurant and in-house café
• Regular after-work, team, and company events
• Centrally located, modern workspace with a 212 m² rooftop terrace

Ready to apply? We look forward to receiving your online application including your first available start date. 

Contact person: Selina Feldengut