Senior Data Analyst - AI Evaluation (Life Sciences).

RX Brasil; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Group Health Insurance Policy

Group Life insurance/accident policy

Long-service awards

New Baby gift

Subsidized food (Chennai)

Various leave types including Casual,S

Job summary

Elsevier in India (Chennai) is seeking a Senior Data Analyst - AI Evaluation to help evaluate AI-powered solutions in life sciences, chemistry, and regulatory data. You will work with product, data science, and engineering teams to define evaluation strategies, rubrics, and acceptance criteria that reflect customer needs and product goals.

You will adapt and validate automated evaluation approaches, applying an LLM-as-jury framework, assess reliability, investigate discrepancies, and provide

Qualifications

• Strong academic background in life sciences or related field.
• Experience evaluating AI outputs using scientific data.
• Familiarity with structured data environments and data flows.

Responsibilities

• Contribute to evaluation strategies, rubrics, and acceptance criteria for AI solutions.
• Define evaluation scope, metrics, and scenarios across drug discovery and regulatory data.
• Build and curate scientific test sets reflecting real-world life sciences data.
• Adapt LLM-as-jury evaluation approaches to products and use cases.
• Conduct manual and automated evaluations, investigating discrepancies and failure modes.
• Collaborate with product, data science, and engineering teams to understand data access and use.
• Document findings and recommendations to support product improvements.

Skills

AI evaluation

Data analysis

Scientific data

Collaboration

Communication

Education

PhD or MSc in Life Sciences

Bioinformatics/Cheminformatics

Tools

GitHub

APIs

Knowledge graphs

Job description

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.
• 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.

• 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.

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.

USA Job Seekers: EEO Know Your Rights.

Elsevier is a global leader in advanced information and decision support for science and healthcare.

We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.

We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.

By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.

We deliver insights that help research institutions, governments, and funders achieve their goals.

We help researchers discover and share knowledge, collaborate, and accelerate innovation.

We help librarians provide verified, quality information to universities.

We help innovators turn knowledge into new products.

We help health professionals improve patient care and educators train the next generation of doctors and nurses.

Connecting quality content and innovative technologies, we make progress go further and happen faster.

And by championing inclusion and sustainability, we ensure progress benefits all.

With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.

We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.

If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.

Elsevier is part of RELX Group.