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Senior Biomedical AI Evaluation Expert
RELXSenior Biomedical AI Evaluation Expert improving AI-driven life sciences tools at Elsevier. Designing and managing evaluations for GenAI products supporting pharmaceutical companies' decisions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating AI outputs through scientific methodologies, with a strong foundation in life sciences and the ability to translate findings into actionable recommendations for stakeholders. Proficient in managing cross-functional teams and aligning evaluation strategies with organizational goals.
Highest-signal resume keywords
Life Sciences ExpertiseAI Output EvaluationData Flow UnderstandingManagement SkillsCross-Functional Collaboration
ATS Keywords
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Hard Skills
BioinformaticsCheminformaticsBiochemistryMedicinal ChemistryPharmacologyAI EvaluationStructured Data ApplicationAlgorithm ValidationDatabase ManagementTaxonomy Development
Soft Skills
Communication SkillsTeam Management
Tools & Technologies
APIsGitHub
Industry Keywords
GenAIEvaluation CriteriaHuman ReviewAutomated EvaluationSME ValidationUser Feedback
About the role
Key responsibilities & impact- Apply scientific expertise to design customer-focused success criteria for AI solutions
- Use AI and human review to prepare evaluation sets specific to product use cases
- Manage and participate in expert human and automated evaluation of GenAI output
- Support development of automated evaluation approaches through human SME validation
- Manage SME evaluators to score GenAI output through formal evaluation and user feedback
- Align evaluation with Operations, Product, and Marketing delivery team strategies
- Translate evaluation findings into clear, documented recommendations to operations and product stakeholders
Requirements
What you’ll need- Strong academic background in life sciences (e.g. bioinformatics, cheminformatics, biochemistry, medicinal chemistry, pharmacology, or similar)
- Experience evaluating or validating AI or algorithmic outputs using scientific data
- Experience applying scientific expertise in structured data or content environments (e.g. databases, taxonomies, or similar systems)
- Solid technical understanding (e.g. data flows, APIs, GitHub)
- Ability to work well in a matrixed organization and on cross-functional teams
- Strong management and communication skills to expert audience
Benefits
Comp & perks- numerous wellbeing initiatives
- shared parental leave
- study assistance
- sabbaticals