Clinical Operations Specialist

Job not on LinkedIn

🕒 June 23

🇺🇸 United States – Remote

💵 $30 - $40 / hour

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏥 Clinical Operations

👻 Ghost score 43%

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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

• Review a live queue of prior authorization cases coming through the platform, ensuring every decision meets clinical and operational standards • Audit AI outputs, third party reviews, and internal team decisions for accuracy, consistency, and compliance • Flag errors and edge cases, documenting findings clearly for the clinical intelligence team • Collaborate cross-functionally to surface patterns and help refine the workflows and logic that power our platform • Expand your knowledge across medical specialties as you work across a diverse range of cases • Contribute to improving the tools, standards, and processes that support patient access to treatment

🎯 Requirements

• 2+ years of hands-on experience in prior authorization, utilization management, clinical care coordination, scribing, or other roles that involve deep work with clinical documentation • Strong familiarity with medical records and clinical notes, and comfort interpreting them accurately • Strong written communication, with an ability to translate clinical complexity into clear, actionable findings for non-clinical teams • Exceptional attention to detail and accuracy • Comfort and/or a strong interest in collaborating with product, engineering, and data science teammates on building new technologies

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