Medecision

Head of Applied AI Research

Medecision

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Lead

About the role

  • Define and lead Medecision’s enterprise AI strategy in alignment with the company vision.
  • Build and manage the AI CoE as a high-performing, multidisciplinary team (data science, ML engineering, AI ethics, clinical informatics).
  • Act as the external face of “Medecision AI” at conferences, publications, and partnerships.
  • Drive applied research in agentic AI, LLMs, and predictive modeling for payer/provider use cases.
  • Create a structured process for piloting, scaling, and productizing AI innovations across UM, CM, Quality, and Risk products.
  • Partner with academic, vendor, and open-source AI communities to stay ahead of the curve.
  • Establish governance, compliance, and bias-mitigation frameworks for AI in healthcare.
  • Build reusable AI/ML infrastructure (vector DBs, orchestration, monitoring, MLOps).
  • Ensure AI models are explainable, auditable, and aligned with payer/provider regulatory requirements.
  • Partner with Product GMs and Engineering leaders to embed AI pods into each line of business.
  • Work closely with Clinical and Compliance teams to validate AI models against industry guidelines (e.g., InterQual, MCG, CMS).
  • Evangelize AI internally, building a culture of adoption and responsible innovation.

Requirements

  • 12+ years of experience in AI/ML, data science, or advanced analytics, with at least 5 in leadership roles.
  • Proven track record building and scaling AI capabilities within healthcare, life sciences, or regulated industries.
  • Deep expertise in applied AI/ML, including large language models (LLMs), RAG, NLP, predictive analytics, and MLOps.
  • Strong knowledge of healthcare workflows (UM, CM, claims, risk adjustment, quality measures).
  • Demonstrated ability to recruit, inspire, and lead world-class AI talent.
  • Excellent communication skills; ability to translate complex AI concepts into business outcomes.
  • Passion for improving healthcare outcomes and reducing costs through innovation.