AI Applied Scientist

What you'll do

• Develop generative AI workflows and multi-agent conversational systems for personalized interactions and symptom triage.
• Automate extraction of clinical variables and features from unstructured medical text; build evaluation pipelines to assess agent safety, accuracy, factuality, and compliance.
• Curate real-world clinical data, validate systems for production, and communicate technical findings to cross-functional audiences.

What they ask for

• Master’s degree in a quantitative discipline or equivalent practical experience.
• At least 3 years of industry experience applying machine learning, NLP, and generative AI to clinical or healthcare datasets.
• Direct experience curating real-world data such as EHRs or medical claims, including understanding unstructured medical text.
• Strong proficiency in Python and scientific computing/deep learning libraries such as PyTorch or TensorFlow.

Nice to have

• PhD in a quantitative discipline.
• Familiarity with agent orchestration or foundation-model tooling, medical terminologies and data models, or clinical benchmarking; scientific publications or patents in healthcare AI/ML.

Pay

$219,000 - $246,000 USD base salary

Tools

Python, PyTorch, TensorFlow, LangGraph, NVIDIA NeMo, Parabricks, SNOMED-CT, FHIR

AI focus

Develop healthcare generative AI and multi-agent systems; apply LLM/NLP methods to clinical text extraction; evaluate agent safety, accuracy, factuality, and compliance.