Translational Medicine Data Specialist

Translational Medicine Data Specialist

Patsnap is looking for a Translational Medicine Data Specialist to help build the high-quality scientific data foundation behind our AI-powered life sciences products. You’ll work at the intersection of translational medicine, data quality, and AI—reviewing complex biomedical evidence, structuring relationships across drugs, diseases, targets, biomarkers, and clinical findings, and helping ensure that our data is accurate, consistent, and scientifically meaningful.

This role goes beyond traditional data curation. You’ll help define quality standards, create evaluation datasets and edge cases for AI workflows, and work closely with AI and data engineering teams to turn expert scientific judgement into scalable prompts, rules, Skills, and quality-control processes. Your work will directly improve how Patsnap’s AI systems understand and organize translational medicine evidence, making complex scientific information more reliable and useful for customers.

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This is an in-office position based in our Singapore office.

Who are we?

Patsnap is a global, pre-IPO company that transforms the way organizations harness their Intellectual Property and Research & Development productivity. Our platform revolutionizes how IP and R&D teams collaborate across the entire innovation lifecycle, using domain-specific AI to accelerate the creation of market-ready products. With over 12,000 customers worldwide, including some of the biggest names in innovation, Patsnap is at the forefront of technological advancement. Our $300M Series E funding round brings our valuation to a $1 billion unicorn status, and we still have a remarkable amount of growth ahead. 

We have a vibrant and diverse team with offices in Singapore, Toronto, London, Shanghai and remote teams based in US. Our hyper-growth trajectory is powered by our people, and we are extremely proud of our company-wide vision, work ethic, and entrepreneurial spirit. We are committed to fostering an inclusive environment where talent thrives and ideas bloom.   

What You'll Be Doing:

• 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.

• 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.