RELX
RELX
RELX бүкіл әлемдегі кәсіби мамандар мен бизнес клиенттеріне арналған ақпаратқа негізделген талдау және шешім қабылдау құралдарын әзірлейді. Оның өнімдері тәуекелдерді басқару, ғылыми, техникалық және медициналық, құқықтық қызметтер мен көрмелер салаларында жақсырақ шешімдер қабылдауға және жоғары нәтижелерге қол жеткізуге көмектесу үшін мамандандырылған мазмұнды, деректерді және технологияны біріктіреді. RELX сондай-ақ консалтинг, денсаулық сақтау және сақтандыруға қатысты нарықтарда жұмыс істеп, ұйымдарға өнімділікті арттыруға, тәуекелдерді басқаруға, зерттеулерді ілгерілетуге, құқықтық жұмысты қолдауға және іскерлік операцияларды тиімдірек жүргізуге көмектеседі.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

  • 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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