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Prior Authorisation Manager Clinical Expert

Mercor


Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer
Posted: 28 August 2026 (Yesterday)
Application Deadline: 25 November 2026
Vacancies: 1 Vacancy

Job Summary

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey.

Position: Prior Authorisation Manager
Type: Contract
Compensation: $105/hour
Location: Remote

Role Responsibilities

  • Manage end-to-end prior authorisation workflows for medical and clinical services across multiple payer types.
  • Review clinical documentation to assess medical necessity against InterQual MCG or payer-specific criteria.
  • Evaluate AI-generated prior authorisation recommendations and clinical justification drafts for accuracy and appropriateness.
  • Coordinate with clinical staff physicians and payers to obtain timely authorisation approvals.
  • Track authorisation status denials and appeal outcomes to identify workflow improvement opportunities.
  • Annotate AI outputs and provide structured clinical feedback to support AI training datasets.

Qualifications

Must-Have

  • 5 years of experience in prior authorisation utilisation management or clinical review with at least 2 years in a management role.
  • Strong clinical background with knowledge of medical necessity criteria (InterQual MCG or equivalent).
  • Deep familiarity with commercial Medicare Advantage and Medicaid prior authorisation requirements.
  • Experience managing authorisation workflows across multiple specialities and service types.
  • Proficiency with authorisation management systems and EHR platforms (Epic Cerner or equivalent).
  • Exceptional written and verbal English communication skills.
  • High attention to detail with the ability to critically evaluate clinical documentation and AI-generated outputs.

Preferred

  • Clinical licensure (RN LPN or equivalent) or relevant certification (CPUR CPUM).
  • Experience with appeals and peer-to-peer review processes.
  • Familiarity with CMS prior authorisation rules and the No Surprises Act.
  • Background in physician office hospital or health plan prior authorisation operations.
  • Familiarity with AI tools and comfort evaluating AI-generated clinical content.

Application Process (Takes 2030 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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