TE
TempusStaff AI Scientist, Foundation Models
Salary$220k – $260k
LocationNew York City; Remote - USA
Work moderemote · United States
Typefull-time
SeniorityLead
Experience3+ yrs
DepartmentFoundation Model group
EquityIncluded
Company size1,001–5,000 people
PostedSep 13, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Ph.D. in Computer Science or a related quantitative field
3+ years of industry experience driving end-to-end development of machine learning models from research and experimentation to validation and production deployment
Demonstrated expertise in large-scale deep learning and foundation model development including pretraining, representation learning, self-supervised learning, multimodal modeling, or post-training
A strong track record of original high-impact research demonstrated through peer-reviewed publications in leading machine learning, computer vision, NLP, or related AI venues
Proficiency in Python and the modern deep learning stack (e.g. Pytorch)
Strong product-level coding skills for model development
Solid understanding of industry-standard software engineering and development practices
Experience with computer vision, NLP, pathology, longitudinal EHR, genomics, or other biomedical modalities
Publications in medical or healthcare AI
Prior experience developing foundation models
Skills
Python
Pytorch
Benefits
Health insurance
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 Foundation Model group is a multidisciplinary team of AI scientists and engineers developing foundation models across diverse clinical and molecular modalities, including longitudinal patient data, pathology, genomics, and other biomedical data. Our goal is to build generalizable AI representations and models that can power applications across clinical care, biomedical research, and the drug development lifecycle.
About the role
As a Staff AI Scientist, Foundation Models, you will be a senior individual contributor focused on advancing large-scale foundation models for precision medicine. You will work at the intersection of machine learning, clinical science, and life sciences, developing novel models using one of the world’s largest clinical and molecular datasets and translating them into impactful applications across clinical research, drug development, and partner programs.
Key Responsibilities:
•
Technical Leadership: Serve as a senior individual contributor within the foundation model team, providing strong hands-on technical contributions while helping shape model architecture, research direction, and execution. Work closely with scientists and engineers to take ambitious AI technologies from research through validation and deployment.
•
Foundation Model Research: Design, train, and advance state-of-the-art foundation models across large-scale multimodal clinical and molecular data, including longitudinal patient records, pathology, genomics, and related biomedical modalities. Drive innovation in areas such as pretraining, representation learning, self-supervised learning, multimodal learning, model scaling, and post-training.
•
Foundation Model Applications: Develop and adapt foundation-model-derived models for downstream clinical and life sciences applications, including prognosis, treatment outcome prediction, patient stratification, biomarker discovery, clinical trial applications, and partner-specific AI solutions.
•
Scientific Leadership: Contribute original ideas that advance Tempus’s foundation model research agenda, publish impactful research, and engage with the broader AI research community.
•
Regulatory and Product Alignment: Work with cross-functional teams to ensure models and AI products meet appropriate quality, validation, and regulatory standards for healthcare and life sciences applications.
Qualifications:
We value diverse perspectives and recognize that outstanding talent does not always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below.
•
Education: Ph.D. in Computer Science, or a related quantitative field.
•
Professional Experience: 3+ years of industry experience driving 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 foundation model development is required, including experience in areas such as pretraining, representation learning, self-supervised learning, multimodal modeling, or post-training. Experience with computer vision, NLP, pathology, longitudinal EHR, genomics, or other biomedical modalities is preferred. Prior work in medical or healthcare AI is highly valued but not required.
•
Research Excellence: A strong track record of original, high-impact research demonstrated through peer-reviewed publications in leading machine learning, computer vision, NLP, or related AI venues is required. Publications in medical or healthcare AI and prior experience developing foundation models are strongly preferred.
•
Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.
New York Pay Range - $220,000 - $260,000 USD
Benefits
The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Legal
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.