Healthcare Multimodal AI Research Scientist

Siemens Healthineers; Princeton (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

Siemens Healthineers seeks a Foundation AI Research Scientist to advance large-scale multimodal models for healthcare, including medical imaging, clinical text, and EHR data. You will explore state-of-the-art architectures and distillation methods to expand AI capabilities across clinical findings and use cases.

You will collaborate with AI researchers, software engineers, and clinicians to translate breakthroughs into scalable technologies for clinical workflows worldwide, while pursuing

Qualifications

• PhD in a technical field with ML/vision/medical imaging focus.
• Experience building advanced ML/DL models and modern architectures.
• Ability to translate research into practical AI systems and prototypes.

Responsibilities

• Foundation AI Research & Development: design and develop large-scale multimodal models for healthcare.
• Clinical AI Translation & Integration: move prototypes toward scalable, real-world deployment.
• AI Safety, Reliability & Responsible AI: advance robustness and interpretability.
• Scientific Leadership & Innovation: publish in leading venues and contribute to IP.

Skills

Foundation models

Multimodal learning

Vision-language models

Medical imaging AI

Self-supervised learning

Few-shot learning

Model distillation

Uncertainty & robustness

Python / ML frameworks

Education

PhD in CS/EE/Biomedical Eng

Tools

PyTorch

TensorFlow

Job description

Siemens Healthineers seeks a Foundation AI Research Scientist to advance large-scale multimodal models for healthcare, including medical imaging, clinical text, and EHR data. You will explore state-of-the-art architectures and distillation methods to expand AI capabilities across clinical findings and use cases.

You will collaborate with AI researchers, software engineers, and clinicians to translate breakthroughs into scalable technologies for clinical workflows worldwide, while pursuing