AI Research Scientist

• 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.

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