Senior Biomedical Scientific Data Quality Expert
Elsevier (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead scientific content quality and validation efforts for life-sciences information products focused on biomedical and chemical data.
- Analyze outputs from large scientific datasets and Agentic AI systems to assess and improve data accuracy, consistency, completeness, and relevance.
- Define quality standards, identify systematic errors, and deliver evidence-based recommendations to product, data, and engineering teams.
Minimum Requirements
- Advanced degree or equivalent experience in pharmacoinformatics, pharmacology, pharmaceutical sciences, bioinformatics, medicinal chemistry, or related discipline.
- Strong knowledge of scientific data-quality standards and methods for evaluating Agentic AI outputs.
- Experience working with large scientific databases, taxonomies, and ontologies.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in interpreting and evaluating complex biomedical and chemical scientific data, including AI-generated outputs.
- Skilled in designing quality evaluation protocols including representative and edge-case test sets with traceable expected outcomes.
- Able to translate analytical findings into clear, actionable recommendations for cross-functional teams in product, data, and engineering domains.