Staff AI Scientist - AI Products / Life Sciences - Tempus

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus ' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At Tempus , we are pursuing a mission to redefine precision medicine through data-driven insights. The AI Products group is a multidisciplinary group of AI scientists and engineers focused on developing AI-driven precision medicine and therapeutic solutions across the clinical and drug development lifecycle.

As a Staff AI Scientist, you will operate at the intersection of machine learning and clinical science. You will research, design, and deploy cutting-edge multimodal AI models that leverage one of the world's largest clinical and molecular datasets—transforming patient care at a massive scale.

Key Responsibilities

Technical Leadership: This is a high-impact, senior individual contributor role. Architect and lead the development of AI-intensive projects from initial research to production-ready design. Influence the long-term technical roadmap.

Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.

Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).

Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.

Scientific Contribution: Maintain Tempus ’s position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.

Qualifications

Education: Ph.D. in Computer Science, or a related quantitative field.

Professional Experience: 5+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.

Domain Expertise: Demonstrated expertise in large-scale deep learning and training production-grade models is required. Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred. Prior work in medical or healthcare AI is highly valued but not required.

Research Excellence: A strong track record of peer-reviewed publications in leading machine learning or computer vision venues. Publications in medical or healthcare AI venues are preferred

Engineering Excellence: Proficiency in Python and the modern deep learning stack (e