RELX
RELX
RELX develops information-based analytics and decision tools for professional and business customers worldwide. Its products combine specialized content, data, and technology to support better decisions and stronger outcomes across Risk, Scientific, Technical & Medical, Legal, and Exhibitions. RELX also operates across consulting, healthcare, and insurance-related markets, helping organizations improve productivity, manage risk, advance research, support legal work, and conduct more effective business transactions.

Senior Data Analyst, AI Evaluation – Life Sciences at RELX, Gurgaon Onsite

Evaluate AI-powered life sciences solutions at Elsevier by building scientific benchmarks and validating LLM-as-judge assessments for product quality.

Description

  • Use scientific expertise to help define customer-focused success criteria, evaluation rubrics, and acceptance criteria for AI solutions
  • Establish evaluation scope, metrics, and scenarios using expertise in drug discovery, drug development, and regulatory approval
  • Create and curate scientific test sets and benchmarks based on real-world life sciences and regulatory data
  • Tailor LLM-as-judge evaluation methods to products, use cases, and metrics, then validate and improve them with scientific domain experts
  • Perform manual and automated assessments of AI outputs, investigate discrepancies and failure modes, and deliver evidence-based feedback on evaluation quality
  • Partner with product, data science, and engineering teams to understand how AI systems access, interpret, and use scientific data
  • Record evaluation findings, limitations, and recommendations to guide product improvements and release decisions across teams

Requirements

  • Advanced academic training in life sciences, including bioinformatics, cheminformatics, biochemistry, pharmacology, or a related discipline
  • Professional experience assessing AI or algorithmic outputs against scientific data
  • Experience applying scientific knowledge within structured data or content systems such as databases, taxonomies, or knowledge graphs
  • Working knowledge of how AI products access and use data, including basic data flows, APIs, and version-controlled workflows such as GitHub
  • A collaborative approach with strong, clear communication skills

Benefits

  • A range of wellbeing initiatives
  • Family leave
  • Tuition reimbursement
  • Flexible working hours
  • Group health insurance for employees and their families
  • Group life and accident insurance
  • Long-service awards
  • New baby gift
  • Subsidized food in India-Chennai
  • Casual leave
  • Sick leave
  • Privilege leave
  • Compassionate leave
  • Special sick leave
  • Gazetted public holidays
  • Maternity and paternity leave
  • Free transport to and from the office in India-Chennai

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