Tempus

Staff AI Scientist, Foundation Models

Tempus$220K — $260K *
US-Anywhere
+ 2 other locationsRemote
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Computer Science or a related quantitative field.
  • 3+ years of industry experience in end-to-end machine learning model development.
  • Expertise in large-scale deep learning and foundation model development.
  • Strong publication record in top AI journals and conferences.
  • Proficient in Python and modern deep learning frameworks like Pytorch.

Responsibilities

  • Provide technical leadership and contribute to model architecture and research direction.
  • Design and advance state-of-the-art foundation models using multimodal clinical data.
  • Develop applications for clinical and life sciences based on foundation models.
  • Contribute original ideas to advance the foundation model research agenda.
  • Ensure compliance with quality, validation, and regulatory standards in model development.

Benefits

  • Full range of benefits, including medical and other healthcare options.
  • Incentive compensation and restricted stock units offered depending on the position.
Full Job Description

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.

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


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.

About Tempus

Tempus is a technology company that has built an operating system to battle cancer. The company enables physicians to deliver personalized cancer care for patients through its interactive analytical and machine learning platform. Tempus provides genomic sequencing services and analyzes molecular and therapeutic data to empower physicians to make real-time, data-driven decisions. The company also offers research services to enable discovery of new therapeutic targets and clinical services that support clinical trial design and monitoring. Tempus was founded in 2015 by Eric Lefkofsky and has raised over $8 billion in funding to date.
Learn more about Tempus
Size
1,001 employees
Industry
Founded
2015

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