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Generator Health

Clinical AI Specialist (Remote)

Posted 2 days ago
5-10 years experience
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AI Summary

The Clinical AI Specialist will audit AI-generated clinical outputs and prior authorizations for accuracy and compliance with payer criteria. They will also identify recurring error patterns and synthesize clinical guidance to improve system performance and workflows.

About the role

As a member of the Clinical AI Specialist team at Generator Health, you will use your managed care expertise to optimize the quality, accuracy, and efficiency of our AI models and clinical workflows. You will own the review of all clinical artifacts our system produces – using cutting-edge AI tooling to build a view of accuracy that stitches together clinical context, payer requirements, and regulatory compliance. Using your clinical judgement and nuanced auditing, you will help build the clinical guidance our models and clinical teams use to continuously improve our system’s outputs.

 

This is a hands-on role centered on clinical review, structured feedback, and iterative improvement. You’ll look beyond individual cases to identify recurring problems, synthesize learnings into clinical guidance, and assess whether changes improve quality and throughput. We’re looking for someone who thrives in detailed clinical work and is excited to use AI to solve one of the most complex and time-consuming problems in healthcare operations.

 

This is a demanding role with a high level of autonomy and responsibility. You will be expected to act like an owner: prioritize effectively, surface problems early, and follow through until they’re resolved. If you are low-ego, hungry to learn, and motivated by consequential clinical work, we want to hear from you.

If you join, you will:

  • 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, and help build a system that scales your expertise.

  • Identify recurring error patterns, gaps in clinical guidance, and edge cases; investigate their underlying causes and recommend improvements to review standards and workflows.

  • Apply AI tools to clinical review and auditing, critically evaluate their outputs, and identify ways to increase throughput while maintaining a high standard of clinical quality.

  • Own the quality and timeliness of your work, meet review expectations, and follow issues through to resolution.

We’re looking for you if you have:

  • A Doctor of Pharmacy (PharmD) degree and 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: you can synthesize medical records, medication histories, payer criteria, and clinical evidence, work through ambiguity, and clearly explain a defensible conclusion.

  • Strong systems thinking: you look beyond individual errors to recognize recurring patterns, identify root causes, and improve how similar cases are reviewed.

  • Precise written communication and attention to detail, with the ability to provide structured feedback that makes the issue, its clinical significance, and the needed correction clear.

  • High ownership and strong execution: you work independently, prioritize effectively, and reliably deliver accurate work at high volume.

  • Excitement about working with and applying AI to clinical work, paired with intellectual curiosity, a willingness to experiment, and the judgement to challenge AI outputs and revise your own conclusions when the evidence warrants it.

Our salary ranges are based on a number of factors, including qualifications, experience level, and geography.

Generator Health is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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