Pharmacist – Clinical AI Reviewer at Mercor

Pharmacist – Clinical AI Reviewer | $70/hr | Remote (US Only)

Mercor is hiring licensed US Pharmacists on behalf of a leading AI research lab to support the development of next-generation clinical AI systems. In this role, you will apply your clinical expertise to improve AI-powered prior authorization workflows by reviewing medication-related questions and evaluating AI-generated responses for accuracy, safety, and completeness.

What You'll Do

• Answer medication-related clinical questions using patient context, source materials, and labeling 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

• Medication indications and dosing recommendations
• Contraindications and drug interactions
• Treatment history and prior authorization criteria
• Supporting clinical documentation

Qualifications

• Active US Pharmacist license (PharmD or equivalent).
• Strong experience with medications, pharmacy workflows, and clinical decision-making.
• Excellent understanding of drug interactions, contraindications, and prescribing guidelines.
• Strong written communication skills and keen attention to detail.
• Comfortable following structured annotation guidelines.
• Available for 30–40 hours per week during the project.

Preferred Experience

• Prior authorization or specialty pharmacy
• Managed care or medication access programs
• Epic, Cerner, or other 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 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.