Investigate applying new AI research to areas such as 3D medical image analysis, 3D reconstruction, AI treatment planning and other topics
Work independently on AI tasks
Contributes to the development of machine learning models
Gather and prepare data for projects and clinical studies
Conduct literature reviews and implement algorithms and frameworks
Test and validate models
Communicate progress and findings within the team
Contribute to technical discussions
Clearly communicates research findings and ideas to peers, both verbally and in writing
Follow the current state-of-the-art technology (literature surveys, or attends conferences)

Master's degree or PhD in Computer Science, Biomedical Engineering, or a relevant degree
Ideally 5-7 years of experience with a Master’s degree, or 1-4 years of experience with a PhD in applying AI and software engineering to real-world problems
Experience with independent leadership of complex technical projects across teams
Proficiency in programming, image data preparation, machine learning concepts, AI model design/architecture, AI training pipeline development, data analysis and statistics
Experience in 2D and 3D medical image analysis (e.g. DVT, CT, MRI or ultrasound)
Experience in AI-based software testing and optimization
Experience in modern AI-assisted development, including tools like GitHub Copilot, Claude Code, and multi-agent coding workflows
Experience with GCP-/AWS-based AI training and deployment is a plus
Experience in AI development for point clouds, mesh and surface generation/analysis is a plus
Experience in medical device development is a plus

Senior AI/ML Scientist

Key skills