Remote AI Scientist - Multimodal Precision Medicine

Tempus AI

Oregon

Hybrid

USD 100,000 - 150,000

Full time

12 days ago

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Benefits offered by this job

Incentive compensation
Restricted stock units
Medical benefits

Job summary

Tempus AI seeks an AI Scientist to advance precision medicine by designing and deploying multimodal AI models that leverage pathology slides, genomic data, and longitudinal clinical records.

You will perform hands-on model development, publish research, and collaborate with life sciences partners while ensuring regulatory alignment and delivering real-time insights to clinicians. Strong Python/PyTorch skills and a track record of peer-reviewed work are essential.

Qualifications

  • Education: 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 (pathology, multi-omics, etc.) preferred.
  • Publications in ML or computer vision venues; medical AI publications preferred.
  • Proficiency in Python and the modern deep learning stack (e.g. PyTorch); strong software development practices.

Responsibilities

  • Technical Contribution: individual contributor role with hands-on work.
  • Algorithmic Innovation: design and train state-of-the-art multimodal models.
  • Collaboration with Life Sciences Companies: support biomarker discovery and therapy outcome prediction.
  • Regulatory Alignment: ensure AI products meet healthcare guidelines and quality standards.
  • Scientific Contribution: publish research and engage with AI research community.

Skills

Deep learning
Multimodal modeling
Computer vision

Education

Ph.D. in Computer Science or related quantitative field

Tools

Python
PyTorch

Job description

Tempus AI seeks an AI Scientist to advance precision medicine by designing and deploying multimodal AI models that leverage pathology slides, genomic data, and longitudinal clinical records.

You will perform hands-on model development, publish research, and collaborate with life sciences partners while ensuring regulatory alignment and delivering real-time insights to clinicians. Strong Python/PyTorch skills and a track record of peer-reviewed work are essential.

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