Cardiac AI Research Engineer

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

Your profile

• 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.)

Preferred:

• 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

Location and type of contract

• Ghent, Belgium
• Full-time
• Hybrid
• Associate level
• CV in English