Radiology AI Foundation Models Scientist (Remote/Hybrid)

United States Digital Space LLC; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

United States Digital Space LLC seeks a Senior Research Scientist to advance machine learning for medical imaging, focusing on foundation models in radiology AI. You will design novel architectures, develop experimental systems to test hypotheses, and help translate research into deployable clinical solutions.

The role entails collaboration with Imperial College London, mentoring researchers, publishing results, and shaping benchmarking frameworks.

Qualifications

• PhD in Machine Learning, Computer Science, or a related field (required).
• Strong publication record at top machine learning venues (for example, NeurIPS, ICML, ICLR) (required).
• Expertise in deep learning and generative models (required).
• Experience designing and evaluating machine learning systems (required).
• Preferred: Experience in medical imaging or healthcare AI.
• Preferred: Familiarity with multimodal learning.
• Preferred: Experience mentoring or leading research projects.

Responsibilities

• Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme.
• Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging.
• Design and prototype novel model architectures for multimodal medical imaging data.
• Develop experimental systems to validate research hypotheses and measure progress against scientific goals.
• Establish and maintain benchmarking frameworks across downstream clinical and technical tasks.
• Collaborate with engineering teams to translate research advances into deployable solutions.
• Lead scientific publications and conference contributions that communicate the company research results.
• Engage with external research collaborators, including partners at Imperial College London.
• Mentor researchers and contribute to research quality standards within the ML Capabilities team.
• Document methods, experiments, and findings to support reproducibility, review, and knowledge transfer.

Skills

Strong publication record

Deep learning

Generative models

ML systems design

Education

PhD in ML/CS or related field

Job description

United States Digital Space LLC seeks a Senior Research Scientist to advance machine learning for medical imaging, focusing on foundation models in radiology AI. You will design novel architectures, develop experimental systems to test hypotheses, and help translate research into deployable clinical solutions.

The role entails collaboration with Imperial College London, mentoring researchers, publishing results, and shaping benchmarking frameworks.