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micro1

Pharmacology Expert

micro1
Pharmacology
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Posted Today
Remote Anywhere

Job 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

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 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.

Originally posted on Himalayas

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