AI Pharma Regulatory Specialist vs AI Policy Analyst

B AI Policy Analyst Only

• AI and machine learning fundamentals-ability to read model architectures, training pipelines, and evaluation metrics
• Regulatory framework analysis-deep understanding of EU AI Act, NIST AI RMF, OECD AI Principles, and emerging global standards
• AI risk assessment-systematic evaluation of AI systems across bias, safety, privacy, transparency, and accountability dimensions
• Policy drafting and legal writing-producing clear, precise, and enforceable policy documents for diverse audiences
• Data privacy and protection expertise-GDPR, CCPA, and cross-border data governance as they apply to AI systems
• Stakeholder communication-translating technical AI concepts for executives, regulators, legal teams, and engineers
• Ethics and bias analysis-identifying and mitigating discriminatory outcomes in AI systems using fairness metrics
• Technical documentation review-evaluating model cards, datasheets, system cards, and API documentation for compliance signals