Pharmacist

About this role

**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.

Eligible applicant countries

This role accepts applicants from:

• USA

Skills & domains

• ai-training
• rlhf
• sme
• annotation