Key Responsibilities
- 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.
Requirements
- 2+ years of experience in patent data, drug patents, life sciences intelligence, pharmaceutical data, or IP content analysis.
- Able to read English patent materials, including titles, abstracts, claims, patent families, applicants, and drug-related evidence.
- Background in pharmaceuticals, chemistry, biology, patent information, or life sciences intelligence preferred.
- Patent attorney qualification is not required.
- Strong ability to document evidence, uncertainty, and reasoning.
- Comfortable using AI tools to improve repeatability and throughput.
- Chinese-English collaboration ability preferred.
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