WerkstudentEnglisch
Working Student - AI Research
Jetzt bewerben
Hybrid
Englisch
Erforderliche Skills
big data analyticsmodel validationAIdata annotation
Stellenbeschreibung
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.
Job Description
Ready to gain hands‑on experience in a cutting‑edge environment? Join our Research & Development team in Munich and help shape the future of AI in radiology. We’re excited to receive your application and get to know you.
In This Role, You Will
Contact person:Selina Feldengut
Job Description
Ready to gain hands‑on experience in a cutting‑edge environment? Join our Research & Development team in Munich and help shape the future of AI in radiology. We’re excited to receive your application and get to know you.
In This Role, You Will
- 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
- Drive research activities that push our technology forward
- Assist project managers in their daily operational tasks
- Accompany the full development cycle — from concept to final testing
- Work with annotation and validation tools to ensure data and model quality
- Medical background — ideally as a medical student or radiology resident
- Strong interest in radiology AI and a passion for driving innovation in the field
- Analytical mindset paired with strong teamwork and communication skills
- Basic computer science knowledge and curiosity to deepen your technical understanding
- 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
Contact person:Selina Feldengut
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