Verified Mercor opportunity
Mercor is hiring on behalf of a leading AI research lab developing next-generation clinical AI systems. We're seeking experienced, licensed US Pharmacists to help improve AI-powered prior authorisation workflows by answering medication-related clinical questions and reviewing AI-generated responses for clinical accuracy, safety, clarity, and completeness. This is an opportunity to apply your clinical expertise to real-world healthcare AI while helping build safer, more reliable clinical decision-support systems. • * * — 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 indications • Dosing recommendations • Contraindications • Drug interactions • Treatment history • Prior authorisation criteria • Supporting clinical documentation • * * — Qualifications • Active US Pharmacist licence (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 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 • Managed care or medication access • 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 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.