Paid Student Internships Germany: Working Student – Medical AI & Data Science (Munich/Remote)

Website ImFusion

Enabling Rapid Innovation in Medical Imaging​

Location: Hybrid (Office in Munich, Germany & Remote Flexibility)
Company: ImFusion GmbH (Medical Imaging & AI Research Leader)
Job Type: Working Student / Part-Time Internship (20 hours/week)
Compensation: Competitive Paid Position + Benefits
Application Deadline: January 31, 2026

Also See: Microsoft Data Center Design Architect

Jumpstart your career in medical AI. Join our R&D team as a Working Student to build datasets that power life-saving medical imaging software.

ImFusion is a Munich-based leader in advanced medical image computing and computer vision. We develop cutting-edge AI and software solutions used by clinicians worldwide to plan and execute precise interventional procedures. Our work bridges groundbreaking research with real-world medical devices that improve patient outcomes.

We are seeking a motivated Master’s student to join our Anatomy Plugins group as a Working Student in Data Science & Medical Image Processing. In this hands-on role, you will directly contribute to improving our AI models by curating high-quality datasets, building automated evaluation pipelines, and enhancing our data workflows. This is a unique opportunity to gain invaluable industry experience in medical AI, work with state-of-the-art tools, and contribute to products with a tangible societal impact.

Key Responsibilities & Learning Outcomes:

  • Use data science techniques and proprietary software to prepare, clean, and improve large-scale datasets from public and in-house sources for AI model training.

  • Create Python-based workflows and reports to analyze data quality, detect issues, and evaluate the performance of machine learning model predictions.

  • Think creatively to help automate and improve the processes for annotating medical images (e.g., segmenting spine, heart, head anatomy).

  • Your work will directly support the improvement of our anatomy segmentation plugins used in certified medical devices.

  • Collaborate with an international team of experts in machine learning, software engineering, and medical imaging.

Your Profile (Required):

  • Currently enrolled in a Master’s degree program in Computer Science, Data Science, Engineering, Bioinformatics, or a closely related field.

  • Strong proficiency in Python (C++ is a plus).

  • Ability to work independently with a keen attention to detail.

  • High motivation to contribute to the medical field and learn about human anatomy.

  • Professional English proficiency (German is not required).

Ideal Candidate (Preferred Skills):

  • Basic experience or strong academic interest in deep learning frameworks (PyTorch, TensorFlow).

  • A passion for data quality, automation, and solving complex technical puzzles.

What We Offer:

  • See your work contribute directly to AI models used in real medical products that improve patients’ lives.

  • Gain hands-on experience in a renowned research and development company with opportunities to contribute to publications.

  • Hybrid work model with flexible hours—split your time between our Munich office and remote work.

  • A competitive salary for working students, plus benefits including sports programs.

  • Join a dynamic, highly skilled, and diverse team where different perspectives drive innovation.

  • Build a strong foundation for a future career as a Data Scientist or AI Engineer in the high-demand MedTech sector.

Application & Interview Process:
Shortlisted candidates will be invited for a technical interview, which includes a Python programming exercise and a scientific discussion.

How to Apply for This Paid Student Position:

If you are a curious and detail-oriented student passionate about using data science for good, we encourage you to apply before the deadline.

👉 Click Here to Apply Now: Working Student – Medical Data Science (Munich/Remote)

ImFusion is an equal opportunity employer committed to diversity and inclusion. We welcome applications from people of all backgrounds.

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