The Opportunity
This position works out of our Munichlocation in the Laralab GmbH.
Your Tasks:
1. Develop algorithms combining deep learning, computational geometry, and medical imaging for heart.ai, our cloud-based software supporting cardiac interventions
2. Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant planning workflows
3. Design, train, and validate DL models and geometry methods for integration into the heart.ai platform
4. Collaborate with Product and Engineering teams to translate clinical needs into robust algorithm designs
5. Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical device development standards
6. Continuously improve algorithm accuracy, robustness, and computational efficiency while contributing to research and exploration of new methods
Your Qualification:
7. MSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, or a related technical field
8. At least 3 years of experience developing deep learning models and computational geometry algorithms, especially deriving measurements from 3D segmentations
9. Strong software development skills, particularly in Python, and ideally experience with TypeScript and AWS‑based cloud products
10. Background in medical image analysis (CT/MRI/echo), including 3D data processing, mesh handling, and geometric feature extraction
11. Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies
12. Experience collaborating with engineering, product, clinical, and quality teams; ideally within medical or regulated environments
13. Strong communication skills, structured problem‑solving capabilities, and a high sense of ownership