GURUGRAM · FULLTIME
Sr Biomedical Scientific Data Quality Expert

Elsevier
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Section · 01
About this role
Senior Biomedical Scientific Data Quality Expert
Do you have experience assessing biomedical and chemical data quality
Can you evaluate scientific data and AI outputs and recommend improvements
Job Summary
You will independently drive detailed scientific content quality and validation activities for life-sciences information products. Your focus will be interpreting biomedical and chemical information, analyzing outputs from very large scientific datasets, and assessing the accuracy, consistency, completeness, and relevance of content. You will help define quality standards, identify root causes, and provide evidence-based recommendations to product, data, and engineering teams.
We are a diverse and dedicated team working on life-sciences data and digital solutions. We maintain services that support research across drug discovery, development, safety, and healthcare. Our mission is to ensure scientific content is accurate, well organized, and trustworthy. We build AI-driven products people can rely on. We focus on data integrity, reliable insights, teamwork, and continuous learning across disciplines.
Responsibilities
- Define the scope and approach for scientific content quality and validation projects.
- Design representative, edge-case, and challenge test sets with traceable expected outputs.
- Conduct manual and automated scientific evaluations of Agentic AI outputs.
- Analyze outputs from very large scientific datasets and identify systematic error patterns.
- Translate evaluation findings into clear, documented recommendations for cross-functional teams.
Requirements
- Advanced degree or equivalent experience in pharmacoinformatics, pharmacology, pharmaceutical sciences, bioinformatics, medicinal chemistry, or a related discipline.
- Strong knowledge of scientific data-quality standards and methods for evaluating Agentic AI outputs.
- Experience with large scientific databases, taxonomies, and ontologies.
- Strong analytical, documentation, and attention-to-detail skills.
- Sound technical understanding of agentic AI systems, APIs, GitHub, or comparable tools.
- Excellent written and verbal communication skills.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
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Section · Company
About Elsevier

Elsevier
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146 years old
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