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RELX

Senior Data Analyst - AI Evaluation (Life Sciences).

RELX is hiring a Senior Data Analyst - AI Evaluation (Life Sciences). in Gurugram, India. Level rates it ; you can apply on Level.

AI in this role

Senior data analyst to automate and conduct LLM-as-jury evaluations for AI-powered life sciences solutions.

llm
ai-evaluationlife-sciencesdata-analysisbenchmarkingdrug-discovery

Senior Data Analyst - AI Evaluation (Life Sciences).


Automate and conduct LLM-as-jury evaluations to improve AI-powered life sciences solutions through scientific expertise and rigorous analysis.

 

About our Team:

We are a growing team working on the evaluation of AI systems in development and on cross-domain harmonization. Our mission is to enable better, more trustworthy AI-driven products by combining scientific expertise with rigorous evaluation and AI-ready data. We generate actionable evidence that accelerates product improvement, and we unlock greater value from curated scientific knowledge by making it interoperable, interpretable, and reliably usable by AI across domains.

 

About the Role: 

The Senior Data Analyst - AI Evaluation will support the evaluation of AI-powered solutions that use life sciences, chemistry, and regulatory data. Working with scientific domain experts, product, data science, and engineering teams, you will contribute to evaluation strategies and rubrics, evaluation scenarios, and acceptance criteria that reflect customer needs and product goals.

A key focus of this role is adapting and validating automated evaluation approaches. Using an “LLM as jury” framework, you will tailor evaluation criteria and methods to specific products, use cases, and metrics. You will assess the reliability of automated judgments, identify gaps or inconsistencies, and refine the approach in collaboration with relevant experts.

Through structured analysis, domain-informed judgment, and iterative validation you will contribute to more robust evidence of quality, faster feedback cycles for product development, and stronger alignment with real-world scientific and customer requirements.

 

Responsibilities: 

  • Applying scientific expertise to contribute to customer-focused success criteria, evaluation rubrics, and acceptance criteria for AI solutions.
  • Contributing to the definition of evaluation scope, metrics, and scenarios using domain knowledge across drug discovery, drug development, and regulatory approval.
  • Building and curating scientific test sets and benchmarks that reflect real-world use of life sciences and regulatory data.
  • Adapting LLM-as-jury evaluation approaches to specific products, use cases, and metrics, and validating and refining their performance in collaboration with scientific domain experts.
  • Conducting manual and automated evaluations of AI outputs, investigating discrepancies and failure modes, and providing evidence-based feedback on evaluation quality.
  • Working closely with product, data science, and engineering teams to understand how AI systems access, interpret, and use scientific data.
  • Documenting evaluation findings, limitations, and recommendations clearly for cross-functional teams to support product improvements and release decisions.

 

Requirements:  

  • Strong academic background in life sciences, such as bioinformatics, cheminformatics, biochemistry, pharmacology, or a related field.
  • Experience evaluating AI or algorithmic outputs using scientific data.
  • Relevant Python skills and the confidence to use them to develop lightweight solutions, automate workflows, or support analytical tasks.
  • Experience applying scientific expertise in structured data or content environments, such as databases, taxonomies, knowledge graphs, or similar systems.
  • Familiarity with how AI products access and use data, including a general understanding of data flows, APIs, and version-controlled workflows such as GitHub.
  • Collaborative mindset and clear communication skills.

 

Work in a way that works for you: -

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

 

Working for you: -

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Group Health Insurance Policy (covering self and family)
  • Group Life insurance/accident policy
  • Generous long-service awards
  • New Baby gift
  • Subsidized food provided (applies to India- Chennai)
  • Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
  • Free Transport provided to and from the office (applies to India-Chennai)

 

About Us: -

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s .

 

 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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How we rate this

Senior Data Analyst - AI Evaluation (Life Sciences). at RELX rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationLife SciencesData AnalysisBenchmarkingDrug DiscoveryLLM

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$110k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Tell me about a project where life sciences was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where benchmarking was part of your work. What did you do?
  5. Tell me about a project where drug discovery was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, Life Sciences, Data Analysis, Benchmarking, and Drug Discovery. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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