Senior AI/ML Scientist

Senior AI Scientist

Join Siemens Healthineers' Digital Technology & Innovation (DTI) team in Princeton, NJ, a central hub for advancing Artificial Intelligence and Digital Technologies in healthcare.

As a Senior AI Scientist, you will work on real-world medical imaging challenges, developing and applying advanced AI/ML methods to improve diagnostic imaging, image-guided therapy, and personalized medicine.

This role bridges research and product development, with a focus on translating novel algorithms into impactful clinical solutions.

You are responsible for:

• Conducting research and developing AI/ML algorithms to solve complex problems in medical imaging
• Applying modern machine learning techniques, including deep learning and generative models, to imaging and inverse problems
• Collaborating with cross-functional teams (engineering, product, clinical partners) to define requirements and deliver solutions
• Prototyping and validating new approaches through feasibility studies and rapid experimentation
• Contributing to publications, patents, and internal innovation initiatives
• Translating research into practice by supporting integration of algorithms into product workflows

Minimum Qualifications:

• Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Physics, or related field
• Strong foundation in machine learning / artificial intelligence
• Experience applying ML to real-world problems (e.g., imaging, signal processing, computer vision, or similar domains)
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Strong problem-solving skills and ability to work through complex technical challenges
• Ability to clearly communicate technical concepts and research outcomes

Preferred Qualifications:

• Experience in medical imaging, computational imaging, or image processing
• Familiarity with generative AI techniques (e.g., diffusion models, foundation models, or related approaches)
• Experience with inverse problems, reconstruction, or physics-based modeling
• Track record of publications or patents in relevant fields
• Experience working in collaborative research or product development environments
• Exposure to C++ or performance-oriented implementations