AI Research Engineer - Medical Imaging

At Nano4Imaging, we are redefining image-guided therapy. Our mission is to make endovascular procedures safer, faster, and more precise through real-time MRI navigation. We combine cutting-edge medical devices with state-of-the-art artificial intelligence to enable interventions without ionizing radiation.

Tasks

As part of our AI team, you will contribute to our next-generation AI-powered navigation platform for MRI-guided interventions. Your work will be centered about research and development and directly influence technology that is being developed for clinical use in collaboration with leading hospitals, research institutes, and global medical technology companies.

• Develop and optimize AI algorithms for real-time MRI image processing.
• Design, train, and validate deep learning models for instrument detection, localization, segmentation, and tracking.
• Develop robust computer vision solutions for challenging MRI environments.Integrate AI models into our TRACKR navigation software platform.
• Build and maintain pipelines for data annotation, training, validation, testing, and performance benchmarking.
• Optimize AI models for real-time execution on GPU-based systems.
• Design and conduct experiments to evaluate algorithm performance using clinical and phantom datasets.
• Collaborate closely with software engineers, medical device specialists, physicists, and clinical partners.
• Support software verification, validation, and regulatory documentation for AI-enabled medical devices.
• Contribute to the continuous improvement of our AI development workflow, software architecture, and infrastructure.
• Stay informed about the latest developments in machine learning, medical imaging, and computer vision and help bring innovative ideas into our products.

Requirements

• M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or a related field
• Strong programming skills in Python
• Experience with PyTorch/TensorFlow
• Solid understanding of machine learning, deep learning, and computer vision
• Experience with version control (Git) and modern software development practices
• Strong analytical and problem-solving skills
• Ability to work independently as well as in interdisciplinary teams
• Good written and spoken English

Excited to apply AI to solve real-world challenges in medical imaging? We look forward to receiving your application.