Job description
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.
Required Experience:
IC
Employment Type : Full-Time
Experience: years
Vacancy: 1