Translational Medicine Data Specialist
Posted:
18 July 2026 (30+ days ago)
Application Deadline:
15 October 2026
Vacancies:
1 Vacancy
Job Summary
What Youll Do
- Process DDTM/translational medicine literature screening entity extraction relationship judgment evidence capture and field completion.
- Evaluate relationships among drugs diseases targets biomarkers clinical evidence and translational evidence.
- Create positive examples negative examples edge cases and historical error samples for AI workflow evaluation.
- Help define DDTM fields quality thresholds review rules and migration acceptance criteria.
- Partner with the AI Native Data Engineer to convert manual decisions into Skills prompts rules QA checklists and error loops.
What Were Looking For
- Bachelors degree or above in Life Sciences Biomedical Sciences Pharmacy Bioinformatics or a related field.
- 2 years in life sciences content drug R&D intelligence clinical research biomedical literature curation or medical database work.
- Able to read English biomedical literature and understand drugs diseases targets biomarkers clinical stages and evidence levels.
- Experience with DDTM translational medicine drug intelligence clinical evidence or biomedical databases preferred.
- Detail-oriented and comfortable working through backlog while documenting repeatable rules.
- Willing to use AI tools while owning the scientific/content judgment.
- Chinese-English collaboration ability preferred.
Required Experience:
IC
About Company
Patsnap empowers IP and R&D teams with advanced AI to get better answers and make faster decisions. Increase IP productivity by 75% while reducing R&D wastage by 25%.