AI Health Scientist: Real‑World Data & Multi‑Agent AI

Verily Health; Boston (MA); On-site; USD 219,000 - 246,000; Full time

Job summary

Verily Health is seeking an AI Applied Scientist to design, develop, and deploy scalable AI workflows that curate Electronic Health Records and claims data. You will advance foundational healthcare models and multi-agent conversational architectures, applying LLMs and ML techniques to extract clinical meaning from unstructured medical text.

You will work with real-world clinical data, ensure privacy and rigorous validation before production, and communicate outcomes to both technical and

Qualifications

• Master's degree in a quantitative field required.
• 3+ years applying advanced ML, NLP, and generative AI to healthcare data.
• Experience with real-world data (EHRs/claims) and unstructured medical text.
• Strong Python skills and libraries (PyTorch, TensorFlow).

Responsibilities

• Design and deploy advanced generative AI workflows and multi-agent architectures.
• Automate abstraction of clinical variables from unstructured text.
• Develop evaluation pipelines to benchmark safety, accuracy, and compliance.
• Handle real-world data challenges with privacy preservation and validation.
• Communicate technical results to cross-functional audiences.

Skills

ML & NLP

Generative AI

Prompt engineering

Agentic workflows

Education

Master's degree in a quantitative discipline

Tools

PyTorch

TensorFlow

LangGraph

SNOMED-CT

Job description

Verily Health is seeking an AI Applied Scientist to design, develop, and deploy scalable AI workflows that curate Electronic Health Records and claims data. You will advance foundational healthcare models and multi-agent conversational architectures, applying LLMs and ML techniques to extract clinical meaning from unstructured medical text.

You will work with real-world clinical data, ensure privacy and rigorous validation before production, and communicate outcomes to both technical and