Working Student/ Intern - Medical Image Analysis with AI

About Us

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 investigate the state of the art, experiment with existing and self-trained models, and assess how well they perform on real-world radiological data. In doing so, you will contribute directly to improving our research platform and to making the daily clinical routine of physicians more efficient.

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
  
  

What we're looking for

• 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
  
  

Why Snke

• 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