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.