Neurovascular AI Scientist — Real-Time Medical Imaging

Siemens Healthineers AG; Princeton (NJ); Hybrid; USD 133,000 - 182,000; Full time

Benefits offered by this job

Hybrid work model

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Disability insurance

Parking/public transportation

Paid time off

Paid sick time

Job summary

Siemens Healthineers in Princeton, NJ is seeking an AI/ML Scientist in the Neuroclinical AI team. You will develop algorithms for real-time detection and tracking of interventional devices in fluoroscopy and angiography, and advance 2D/3D fusion and registration with pre-procedural imaging to support image-guided neurovascular procedures.

The role involves collaboration with clinicians and researchers, model validation under medical device standards, and exploring foundation models and

Qualifications

• MS/PhD in CS/EE/BME/Robotics or related field.
• 2–5 years of AI/ML development experience.
• Hands-on with Python and DL frameworks; medical imaging experience preferred.

Responsibilities

• Develop AI algorithms for real-time detection and tracking of interventional devices in fluoroscopy/angiography.
• Create 2D/3D fusion and registration integrating pre-procedural imaging with live view.
• Build foundation models and deploy them on clinical hardware with latency constraints.
• Collaborate with clinicians, imaging scientists, and product teams across the project lifecycle.
• Validate AI models and contribute to IP and research publications.

Skills

Python

PyTorch

Medical imaging

AI/ML development

Neuroimaging

Education

MS or PhD in Computer Science / Electrical Engineering / Biomedical Engineering / Robotics

Tools

TensorRT

ONNX

Job description

Siemens Healthineers in Princeton, NJ is seeking an AI/ML Scientist in the Neuroclinical AI team. You will develop algorithms for real-time detection and tracking of interventional devices in fluoroscopy and angiography, and advance 2D/3D fusion and registration with pre-procedural imaging to support image-guided neurovascular procedures.

The role involves collaboration with clinicians and researchers, model validation under medical device standards, and exploring foundation models and