Retail Pharmacist

Turing•New York, NY

1d•Remote

About The Position

Turing is seeking experienced retail pharmacists to work on projects that fine-tune and evaluate large language models, applying expertise in pharmacy operations, medication management, and patient counseling. No prior AI experience is required. The work explores how AI can support prescription accuracy, medication safety, inventory management, and patient communication in pharmacy workflows. The role involves designing and solving pharmacy and retail healthcare scenarios, writing structured explanations of pharmacy-related topics, evaluating AI responses, and collaborating with researchers to improve AI’s understanding of drug classifications, pharmacy operations, and patient care workflows. This is a freelance contractor assignment with projects expected to last approximately one month, with the possibility of extension. Work is fully remote, and projects may potentially be full-time. Compensation varies by project. Candidates must not provide confidential or proprietary information, trade secrets, specific client or case details, or information that would violate confidentiality obligations.

Requirements

At least 4 years of experience as a pharmacist in a retail, community, or chain pharmacy setting.
Doctor of Pharmacy (PharmD) or an equivalent pharmacy degree.
Active pharmacist license in the U.S. or an equivalent jurisdiction.
Strong understanding of pharmacy operations, inventory management, and medication safety protocols.
Excellent English communication and reasoning skills.
Ability to clearly explain pharmaceutical and consumer health concepts.

Responsibilities

Design and solve real-world pharmacy and retail healthcare scenarios to test AI reasoning.
Write clear, structured explanations covering prescription verification, dosage counseling, formulary management, and over-the-counter medication guidance.
Evaluate AI responses for accuracy, professionalism, and compliance with patient safety and regulatory standards.
Collaborate with researchers to refine AI understanding of drug classifications, pharmacy operations, and patient care workflows.