Senior Biomedical Scientific Data Quality Expert

Elsevier provides life-sciences data and digital solutions supporting research, healthcare, and drug development. This role evaluates scientific content and AI outputs, identifies quality issues, and recommends improvements to product, data, and engineering teams.

• Define approaches for scientific content quality and validation projects
• Design representative and edge-case test sets with expected outputs
• Evaluate Agentic AI outputs manually and with automated methods
• Analyze large scientific datasets to identify systematic errors
• Recommend evidence-based improvements to cross-functional teams

Education

Master's degree

Degree

pharmacoinformatics, pharmacology, pharmaceutical sciences, bioinformatics, medicinal chemistry

Domain

life sciences data

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