Job Description

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.
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