AI Research Scientist

• Research & Innovation: Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
• Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
• Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
• Healthcare-Focused AI Development: Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
• Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
• Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.
• Technical Leadership: Serve as the primary technical authority on Agentic and Generative AI within project teams.
• Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
• Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.
• Operational & Compliance Excellence: Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
• Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).
• Partner with engineering to move research prototypes into production environments.

AI Scientist

Senior Machine Learning Researcher

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Director, AI Research and Analysis