Pharmacology Expert✦ anywhere

🏒 micro1 · all 298 jobs
πŸ“ Worldwide
πŸ“… Posted Aug 29, 2026 Β· via Himalayas
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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 β€” 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 Qualifications

- 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 skillsβ€”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.

Originally posted on Himalayas

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