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Ortet

Healthcare AI platform with patient-centered model

Member of Frontier Research

AI ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Hands-on experience training and evaluating foundation models and making judgment calls on open-ended problems.
  • Readiness to go deep on clinical, care, and biology practice and to focus on research the mission needs.
  • Ability and drive to own problems end to end, from the research question through a deployed result.
  • A track record of strong machine learning research demonstrated through publications, models, or systems.

Responsibilities

  • Define the research agenda with the founding team across foundation models, causality, multimodality, and agents.
  • Research and build the Ortet Health Model, from data and training through evaluation in real-world settings.
  • Pursue important research problems from design through execution.
  • Set Ortet's scientific standards and research culture.

Desired Qualifications

  • Depth in causal inference, multimodal learning, reinforcement learning, interpretability, or agents.
  • Experience with clinical, biological, or other health data.
  • Experience carrying research into production.
  • Ability to explore creatively and execute rigorously.

About the Company

Ortet

Healthcare AI platform with patient-centered model

Ortet is building a full-stack frontier AI platform for healthcare, centered on the Ortet Health Model. It combines compute and data infrastructure with frontier research and model deployment to learn from biological, clinical, operational, and financial data. The aim is to create a patient-centered foundation model that understands a person’s complete healthcare context, enabling continuous improvement and scalable learning from every patient interaction. Unlike tools that tackle single tasks, Ortet connects data and knowledge across scientific discovery, clinical care, health operations, and financial administration, so its models can adapt to real-world needs across the health system. The company’s goal is to provide a shared intelligence foundation that supports personalized medicine and more predictable, optimized care across the entire healthcare ecosystem.

Company size
Not listed
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$500M
Headquarters
New York City, New York
Founded
2026

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