AI Scientist
Tempus AI
Summary
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.
Job description
As an 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 Contribution: This is an individual contributor role with significant hands-on contribution.
- 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 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.
- Domain Expertise: Demonstrated expertise in deep learning model development and rigorous evaluation. 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.g. Pytorch). Strong product-level coding skills for model development are a strong plus, along with a solid understanding of industry-standard software engineering and development practices.
Requirements
- Ph.D. in Computer Science, or a related quantitative field
- Demonstrated expertise in deep learning model development and rigorous evaluation
- Experience in computer vision and multimodal modeling (preferred)
- Prior work in medical or healthcare AI (highly valued but not required)
- Strong track record of peer-reviewed publications in leading machine learning or computer vision venues
- Proficiency in Python and the modern deep learning stack (e.g. Pytorch)
- Strong product-level coding skills for model development (strong plus)
- Solid understanding of industry-standard software engineering and development practices
Benefits
- Incentive compensation
- Restricted stock units
- Medical benefits
Company overview
Tempus AI, Inc. (NASDAQ: TEM) is a pioneering healthcare technology company founded in 2015 by Eric Lefkofsky in Chicago, Illinois. The company was established after Lefkofsky's wife was diagnosed with breast cancer, driving his mission to revolutionize cancer care through technology and artificial intelligence. Tempus specializes in applying AI to advance precision medicine by collecting and analyzing vast amounts of molecular, clinical, and genomic data. The company operates across multiple therapeutic areas including oncology, cardiology, radiology, neurology, psychiatry, and dermatology. Tempus provides comprehensive diagnostic services including next-generation sequencing (NGS), PCR profiling, and molecular pathology testing. Its AI-powered platform enables physicians to make real-time, data-driven decisions for personalized patient care and targeted therapies. The company went public in June 2024 and has expanded globally with operations in multiple countries. Tempus continues to innovate at the intersection of healthcare and artificial intelligence, aiming to ensure patients receive the right treatments at the right time for improved health outcomes.