Staff AI Scientist, Foundation Models for Precision Med

Tempus AI, Inc.; New York (NY); On-site; USD 220,000 - 260,000; Full time

Benefits offered by this job

Incentive compensation

Restricted stock units

Medical benefits

Job summary

Tempus AI, Inc. seeks a Staff AI Scientist, Foundation Models, to lead development of large-scale foundation models for precision medicine. The role blends ML research with clinical science, leveraging extensive clinical and molecular data to enable prognostic and biomarker applications.

You will publish findings, guide architecture choices, and collaborate with cross-functional teams to meet healthcare regulatory standards. Based in New York, strong Python and PyTorch skills are required.

Qualifications

• Ph.D. in Computer Science or related quantitative field.
• 3+ years of industry experience delivering ML models from research to production.
• Expertise in large-scale deep learning and foundation models; multimodal data preferred.
• Publications in ML/NLP/CV venues; medical/healthcare AI experience valued.

Responsibilities

• Provide senior technical contributions shaping model architecture and roadmap.
• Design, train, and advance foundation models using clinical and molecular data.
• Develop model-derived applications for prognosis, outcomes, and stratification.
• Publish research findings and engage with the AI research community.
• Ensure regulatory and quality standards for healthcare AI products.

Skills

Python

Deep learning

Multimodal learning

NLP

Computer vision

Education

Ph.D. in Computer Science

Tools

PyTorch

Job description

Tempus AI, Inc. seeks a Staff AI Scientist, Foundation Models, to lead development of large-scale foundation models for precision medicine. The role blends ML research with clinical science, leveraging extensive clinical and molecular data to enable prognostic and biomarker applications.

You will publish findings, guide architecture choices, and collaborate with cross-functional teams to meet healthcare regulatory standards. Based in New York, strong Python and PyTorch skills are required.