Remote Expert Pharmacists
RemoteUnited States
Job Summary
Produce expert-level tasks and gold-standard solutions in pharmacotherapy, drug interactions, and dosing management that meet the pod's quality bar. Author realistic clinical scenarios involving patient chart reviews, therapeutic recommendations, adverse reaction evaluations, and dosing adjustments. Apply rubric standards set by the Functional SME Lead and work under senior review to incorporate calibration feedback and refine outputs. Verify that all created clinical scenarios, lab values, and medication profiles are accurate, realistic, and solvable using standard clinical reference materials. Ensure consistent alignment with project guidelines, quality benchmarks, and milestone deadlines. This role supports Turing's frontier AI initiatives by generating training data for clinical pharmacy and medication management.
Required Qualifications
- ~3–8 years of professional pharmacy practice (e.g., retail, hospital, or clinical environment)
- Doctor of Pharmacy (PharmD) or regionally equivalent pharmacy qualification with active professional licensure
- Practical knowledge of pharmacotherapy, therapeutic drug monitoring, renal/hepatic dosing adjustments, drug-drug and drug-food interaction screening, and patient safety protocols
- Proven track record of producing clinical deliverables such as drug regimen reviews, patient counseling notes, dosing recommendation plans, and medication reconciliation summaries
- Ability to review complex patient charts, evaluate multi-drug regimens, identify drug-related problems (DRPs), and validate clinical reasoning
- Strong commitment to ensuring complete clinical accuracy, safety compliance, and realistic scenario design
- Excellent written communication skills for writing realistic clinical vignettes, pharmaceutical prompts, and structured evaluation rubrics
- Self-motivated and able to work independently, incorporate calibration feedback, and iterate under senior review
- at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST
- Engagement type: Contractor
- Engagement Length: 9 weeks
Desired Qualifications
- Bachelor's degree or equivalent practical experience in any field
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role
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