Certified Pharmacy Technician (CPhT)
About this role
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 escalate 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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