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 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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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