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Strong Tier-1 employer and metro location increase applicant density despite niche PhD-level specialization.
PhD and scholarly domain evaluation expertise reduce cross-industry transferability.
PhD minimum plus domain expertise and evaluation experience enforce strict shortlisting filters.
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Manage and oversee the design, execution, and analysis of evaluation studies for GenAI products used in multidisciplinary research domains.
Lead expert human and automated evaluation of GenAI outputs to ensure alignment with scientific and scholarly standards.
Collaborate cross-functionally with Product, Data Science, Technology, Commercial, and Marketing teams to translate evaluation findings into actionable recommendations.
PhD or equivalent academic background in life sciences, physical sciences, engineering, health sciences, social sciences, arts and humanities, or related multidisciplinary fields.
Experience evaluating or validating AI outputs using scientific or scholarly research data.
Experience applying scientific or domain expertise within structured data or content environments such as databases or taxonomies.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in matrixed, cross-functional organizations involving product development and research.
Strong domain expertise allowing scientific judgment on GenAI product outputs in scholarly research contexts.
Proven ability to manage evaluation teams and translate technical evaluation outcomes into clear, business-focused recommendations.