Clinical Pharmacist: AI Clinical QA & Authorization Review

Obsidian; New York (NY); On-site; USD 83,000 - 124,000; Full time

Job summary

Mercor is seeking licensed US Pharmacists to evaluate AI-assisted clinical answers and support safer AI-driven decision tools in healthcare. You will review medication-related queries, assess accuracy, and provide structured feedback to improve AI outputs.

Ideal candidates have PharmD with strong drug knowledge, attention to detail, and excellent written communication. This project offers 30–40 hours weekly with flexible scheduling across the United States.

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 attention to detail.
• Comfortable following structured annotation guidelines.
• Available for 30–40 hours per week during the project.

Responsibilities

• 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 elevate 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.

Skills

Clinical decision-making

Medication knowledge

Attention to detail

Written communication

Education

Doctor of Pharmacy (PharmD)

Tools

Epic

Cerner

Job description

Mercor is seeking licensed US Pharmacists to evaluate AI-assisted clinical answers and support safer AI-driven decision tools in healthcare. You will review medication-related queries, assess accuracy, and provide structured feedback to improve AI outputs.

Ideal candidates have PharmD with strong drug knowledge, attention to detail, and excellent written communication. This project offers 30–40 hours weekly with flexible scheduling across the United States.