RELX
RELX
RELX dezvoltă instrumente de analiză și de luare a deciziilor bazate pe informații pentru clienți profesioniști și companii din întreaga lume. Produsele sale combină conținut specializat, date și tehnologie pentru a sprijini decizii mai bune și rezultate mai solide în domeniile riscurilor, științei, tehnologiei și medicinei, juridic și expozițiilor. RELX activează și pe piețe asociate consultanței, serviciilor medicale și asigurărilor, ajutând organizațiile să își îmbunătățească productivitatea, să gestioneze riscurile, să avanseze cercetarea, să susțină activitatea juridică și să desfășoare tranzacții comerciale mai eficiente.

Senior Data Analyst, AI Evaluation – Life Sciences (RELX, Gurgaon)

Evaluate AI-powered life sciences solutions for Elsevier by developing scientific benchmarks and assessing LLM-as-judge methods. Help validate product quality across real-world scientific and regulatory use cases.

Descriere

  • Use scientific expertise to shape customer-focused success criteria, evaluation rubrics, and acceptance standards for AI solutions.
  • Set evaluation scope, metrics, and scenarios across drug discovery, development, and regulatory approval using relevant domain knowledge.
  • Create and maintain scientific test sets and benchmarks based on real-world life sciences and regulatory data.
  • Tailor LLM-as-judge evaluation methods to individual products, use cases, and performance metrics.
  • Assess and improve LLM-as-judge performance in partnership with scientific subject-matter experts.
  • Perform both manual and automated reviews of AI-generated outputs.
  • Analyze discrepancies and failure modes, delivering evidence-based feedback on evaluation quality.
  • Work with product, data science, and engineering teams to improve how AI systems use scientific data.
  • Record evaluation results, limitations, and recommendations to inform product enhancements and release decisions.

Cerințe

  • A strong academic foundation in life sciences, such as bioinformatics, cheminformatics, biochemistry, pharmacology, or a related discipline.
  • Experience assessing AI or algorithmic outputs against scientific data.
  • Experience applying scientific knowledge within structured data or content systems, including databases, taxonomies, knowledge graphs, or comparable environments.
  • Working familiarity with how AI products access and process data, including basic knowledge of data flows, APIs, and version-controlled workflows such as GitHub.
  • A collaborative approach with strong written and verbal communication skills.

Beneficii

  • A range of wellbeing programs and initiatives.
  • Family leave provisions.
  • Tuition reimbursement support.
  • Flexible working hours.
  • Group health insurance for employees and their families.
  • Group life and accident insurance.
  • Long-service recognition awards.
  • A new-baby gift.
  • Subsidized food at the India–Chennai location.
  • Casual, sick, privilege, compassionate, special sick, gazetted public holiday, and maternity or paternity leave.
  • Complimentary transport to and from the office at the India–Chennai location.

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