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Job description
Snke posted this role. Below, we break down what it means for a working student in Heidelberg: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.
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Description provided by Snke
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, enabling and holistic-helping healthcare providers deliver meaningful change.
What you'll do
As a working student or intern in our Research Platform team, you will explore the potential of current deep learning models for understanding medical image content and help bring these ideas closer to our medical device mint Lesion.
Your work will focus on evaluating and prototyping AI approaches for concrete use cases such as
- CT phase recognition (e.g. native, arterial, venous, delayed),
- general medical image description and characterization, or
- automated analysis of anatomical coverage (which body parts are contained in a scan).
You Will
- work in a highly skilled and motivated team with close mentoring
- explore, implement and evaluate current deep learning models for medical imaging
- document your findings and present them to a technical and clinical audience
- get hands-on experience with real medical data in a regulated environment
- Enrolled student in Computer Science, Medical Informatics, Data Science or a similar field
- First practical experience with Python and a deep learning framework (e.g. PyTorch or TensorFlow)
- Basic understanding of machine learning and neural networks, ideally with some exposure to computer vision
- Interest in the field of medical imaging and a motivation to learn
- Proficient understanding of code versioning tools like Git is a plus
- Knowledge or interest in standards and technologies such as DICOM, gRPC or FHIR is a plus
- Good command of English; German is a plus
- Meaningful work with a lasting impact on medical technology
- Flexible working hours compatible with your studies, with the possibility of Home Office
- Insight into the development of a real medical device
- A friendly team and regular after-work, team & company events
- The opportunity to base your thesis (Bachelor's or Master's) on your work with us
- Individual development opportunities and mentoring
Working student essentials
What this Tech working student role in Heidelberg means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
