Clinical AI Specialist

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

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Logo of Generator Health

Generator Health

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Generator Health is an operations-focused healthcare company that acts as the human-in-the-loop backbone for emerging health technology platforms. The company navigates complex patient access workflows — including insurance authorization, pharmacy logistics, and provider coordination — and uses that operational data and expertise to train and power proprietary AI models. Generator Health positions itself as a career-oriented employer that converts administrative healthcare complexity into streamlined, tech-enabled patient access solutions.

📋 Description

• Audit a high volume of prior authorizations and AI-generated clinical outputs for accuracy, completeness, and alignment with the medical record and applicable payer criteria • Apply evidence-based clinical reasoning to complex or ambiguous cases • Distinguish clinically meaningful errors from minor issues • Help build a system that scales clinical expertise • Identify recurring error patterns, gaps in clinical guidance, and edge cases • Investigate underlying causes and recommend improvements to review standards and workflows • Apply AI tools to clinical review and auditing • Critically evaluate AI outputs and identify ways to increase throughput while maintaining clinical quality • Own the quality and timeliness of work, meet review expectations, and follow issues through to resolution

🎯 Requirements

• A Doctor of Pharmacy (PharmD) degree • 2–10 years of professional experience, including hands-on managed care work in prior authorization, utilization management, appeals, or clinical quality at a health plan, pharmacy benefit manager (PBM), or similar organization • Excellent clinical reasoning, including synthesizing medical records, medication histories, payer criteria, and clinical evidence • Ability to work through ambiguity and clearly explain a defensible conclusion • Strong systems thinking and ability to identify recurring patterns, root causes, and workflow improvements • Precise written communication and attention to detail • Ability to provide structured feedback that clearly explains issues, clinical significance, and needed corrections • Ability to work independently, prioritize effectively, and reliably deliver accurate work at high volume • Excitement about applying AI to clinical work • Intellectual curiosity, willingness to experiment, and judgment to challenge AI outputs and revise conclusions when warranted

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