Cardiac AI Research Engineer
MaterialiseBelgium4 days ago
Full-timeRemote FriendlyResearch
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What you will do
- Design, implement, and validate algorithms and deep learning models for 3D cardiac CT and related medical imaging data
- Collaborate with internal and external stakeholders to define requirements, propose solutions, and ensure clinical relevance
- Document research workflows, results, and performance metrics in compliance with medical software standards
- Optimize algorithms for patient-specific planning and medical image processing tasks
- Validate model performance and communicate findings to stakeholders
- Work with cross-functional teams to integrate and deploy algorithms in clinical workflows
- Stay current with developments in AI, medical imaging, and related technologies, proactively introducing new ideas to the team
- Master’s degree in biomedical engineering, computer science, electrical engineering, or a related field
- 3+ years of professional hands-on experience in machine learning/deep learning, preferably using PyTorch
- Proficiency in Python and relevant data science frameworks (e.g., MONAI, PyTorch Lightning, NumPy, Pandas)
- Strong analytical, problem-solving, and communication skills
- Fluent in English, both written and verbal
- Able to work independently and collaboratively in a multidisciplinary team
- Experience within a DevOps ecosystem (Git, CI/CD, Docker, etc.)
- Experience with medical image segmentation, cardiac imaging, or structural heart planning
- Familiarity with cloud computing platforms (AWS, Azure, GCP)
- Understanding of Agile development practices
- Experience with deploying AI models in clinical environments
- Ghent, Belgium
- Full-time
- Hybrid
- Associate level
- CV in English
Key Skills
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