Translational Medicine Data Specialist - patsnap

What You’ll 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 We’re Looking For

• Bachelor's 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.