Senior AI Scientist Foundation Models for Precision Med

Tempus AI

United States

On-site

USD 220,000 - 260,000

Full time

7 days ago
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Job summary

Tempus AI is seeking a Staff AI Scientist, Foundation Models, to advance large-scale foundation models for precision medicine. You will work at the intersection of machine learning, clinical science, and life sciences, using one of the world’s largest clinical and molecular datasets to drive impactful applications in clinical research, drug development, and partner programs.

You will lead the team technically, explore pretraining, representation learning, and multimodal modeling, and ensure

Qualifications

  • Ph.D. in Computer Science or a related quantitative field.
  • 3+ years of industry experience in end-to-end ML model development.
  • Experience with large-scale deep learning and foundation-model development is required.

Responsibilities

  • Provide technical leadership within the foundation model team and shape architecture and execution.
  • Design and advance state-of-the-art multimodal foundation models with clinical and molecular data.
  • Develop foundation-model-derived applications for prognostics, outcome prediction, and biomarker discovery.
  • Publish impactful research and engage with the AI research community.
  • Ensure models meet quality, validation, and regulatory standards in healthcare.

Skills

Python
PyTorch
Deep learning
Multimodal modeling

Education

PhD in Computer Science or related field

Tools

PyTorch Lightning
TensorFlow

Job description

Tempus AI is seeking a Staff AI Scientist, Foundation Models, to advance large-scale foundation models for precision medicine. You will work at the intersection of machine learning, clinical science, and life sciences, using one of the world’s largest clinical and molecular datasets to drive impactful applications in clinical research, drug development, and partner programs.

You will lead the team technically, explore pretraining, representation learning, and multimodal modeling, and ensure

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