Certified Pharmacy Technician - Specialist

Mercor

New York (NY)

On-site

USD 42,000 - 64,000

Part time

14 days+
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Job summary

Mercor is seeking experienced Certified Pharmacy Technicians (CPhT) to support AI-driven prior authorisation workflows by reviewing medication-related clinical content and evaluating AI-generated responses for accuracy, safety, and completeness. This role emphasizes meticulous medication management, pharmacy operations, and strict adherence to annotation guidelines.

Candidates should have hands-on experience with medications, prescriptions, and prior authorisation processes, and be available for

Qualifications

  • Certified Pharmacy Technician (CPhT) or equivalent pharmacy technician experience.
  • Hands-on experience with medications, prescriptions, pharmacy operations, and prior authorisation workflows.
  • Strong understanding of medication safety, drug interactions, and pharmacy best practices.
  • Excellent written communication skills and strong attention to detail.
  • Comfortable following structured annotation guidelines.

Responsibilities

  • Answer medication-related clinical questions using patient context, source materials, and labelling guidelines.
  • Review AI-generated responses for clinical accuracy, safety, clarity, completeness, and evidence support.
  • Correct inaccurate or incomplete responses and provide structured annotations and written feedback.
  • Identify and escalation cases involving insufficient evidence, conflicting guidance, unclear clinical context, or patient safety concerns.
  • Apply project rubrics and quality standards consistently while participating in calibration and feedback sessions.

Skills

CPhT Certification
Pharmacy operations
Medication safety
Written communication
Annotation guidelines

Education

Certified Pharmacy Technician (CPhT) or equivalent

Job description

Mercor is hiring on behalf of a leading AI research lab developing next-generation clinical AI systems. We're seeking experienced Certified Pharmacy Technicians (CPhT) to support the development of AI-powered prior authorisation workflows by reviewing medication-related clinical content and evaluating AI-generated responses for accuracy, safety, clarity, and completeness. This role is ideal for pharmacy technicians with strong medication management and pharmacy operations experience who are interested in contributing to cutting-edge healthcare AI.

What You’ll Do
  • Answer medication-related clinical questions using patient context, source materials, and labelling guidelines.

  • Review AI-generated responses for clinical accuracy, safety, clarity, completeness, and evidence support.

  • Correct inaccurate or incomplete responses and provide structured annotations and written feedback.

  • Identify and escalation cases involving insufficient evidence, conflicting guidance, unclear clinical context, or patient safety concerns.

  • Apply project rubrics and quality standards consistently while participating in calibration and feedback sessions.

Representative topics include:

  • Medication history

  • Prior authorisation requirements

  • Medication indications

  • Dosing information

  • Contraindications

  • Drug interactions

  • Supporting clinical documentation

  • Pharmacy workflows

Qualifications
  • Certified Pharmacy Technician (CPhT) or equivalent pharmacy technician experience.

  • Hands-on experience with medications, prescriptions, pharmacy operations, and prior authorisation workflows.

  • Strong understanding of medication safety, drug interactions, and pharmacy best practices.

  • Excellent written communication skills and strong attention to detail.

  • Comfortable following structured annotation guidelines.

  • Available for 30–40 hours per week during the project.

Preferred Experience
  • Prior authorisation or speciality pharmacy

  • Medication access programs

  • Epic, Cerner, or other electronic health record (EHR) systems

  • Clinical quality assurance

  • AI evaluation, clinical content review, or healthcare data annotation

  • 340B or medication assistance programs

What Success Looks Like
  • Consistently accurate, evidence-based clinical annotations and reviews.

  • High agreement with project quality standards.

  • Reliable throughput and timely delivery.

  • Clear identification and escalation of safety-critical or ambiguous cases.

  • Rapid incorporation of calibration feedback.

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Collaboration with a world-class AI research organization