Senior Biomedical Scientific Data Evaluation Expert
Elsevier (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead scientific content initiatives for life-sciences information products, defining customer needs, product priorities, success criteria, and quality standards.
- Develop and apply scientific evaluation metrics and success criteria for AI-driven solutions in drug discovery and development.
- Collaborate with product leaders and senior stakeholders to convert scientific requirements into actionable recommendations and guide product decisions.
Minimum Requirements
- Advanced degree or equivalent experience in pharmacoinformatics, pharmacology, pharmaceutical sciences, bioinformatics, medicinal chemistry, or related field.
- Strong understanding of scientific data-quality standards and assessment methods for agentic AI outputs.
- Experience with large scientific databases, taxonomies, ontologies, and technical knowledge of agentic AI systems and APIs (e.g., GitHub).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in working closely with stakeholders across drug discovery, development, and regulatory information domains to translate customer needs into scientific product criteria.
- Able to independently lead and prioritize scientific content initiatives with measurable impact on AI-driven life-sciences products.
- Comfortable collaborating across European time zones and participating in occasional travel for meetings or workshops.