• Process drug-patent relationship analysis and classify patents into core, recommended, low-confidence review, or excluded.
• Review patent abstracts, claims, descriptions, patent families, applicants, and public information.
• Judge relationships between patents and drugs, structures, targets, indications, or mechanisms.
• Add evidence snippets, sources, relationship types, confidence levels, and review reasons for each relationship.
• Help define patent relationship schemas, recommendation tiers, exclusion rules, and quality standards.
• Partner with the AI Native Data Engineer to convert patent judgment into prompts, QA rules, and error sample libraries.