1MO AGO

Pharmacology Expert

micro1 / Pharmacology Expert

RATE

$60 - $80/HR

LOCATION

REMOTE (GLOBAL)

More micro1 jobs STEM & PhD Medical & Healthcare Writing & Creative

Apply

DESCRIPTION

Role Title: Pharmacology Expert Role Type: Contractor Location: Remote micro1 is engaging Pharmacology Experts to contribute their specialized knowledge to a customer-driven project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Review and evaluate pharmacological content for accuracy, clarity, and real-world relevance. • Develop and curate scenarios, case studies, and datasets related to pharmacokinetics, pharmacodynamics, drug interactions, and therapeutic applications. • Provide expert feedback on AI-generated responses for pharmacology queries, ensuring scientific rigor and clinical adherence. • Translate complex pharmacology concepts into accessible information for AI model training purposes. • Identify gaps or inaccuracies in existing materials and propose data-driven improvements. • Collaborate with interdisciplinary teams to refine guidelines and datasets in line with the latest pharmacological standards. • Document methodologies and rationales behind pharmacological decisions and recommendations within project deliverables. Preferred

REQUIREMENTS

▸Advanced degree (PharmD, PhD, MD, or equivalent) in Pharmacology, Pharmaceutical Sciences, or a closely related field.
▸Demonstrated expertise in clinical, molecular, or systems pharmacology.
▸Experience authoring, reviewing, or teaching pharmacology-related content in academic, clinical, or industry settings.
▸Familiarity with current global guidelines, regulatory standards, and best practices in drug therapy and safety.
▸Strong analytical and critical evaluation skills—able to discern nuances in complex pharmacological data.
▸Ability to communicate complex scientific ideas clearly and concisely to diverse audiences.
▸Previous participation in digital, AI, or data annotation projects is an asset but not required.