Senior Data Analyst - AI Evaluation (Life Sciences).

Elsevier; City Of London; On-site; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Long-service awards

Baby gift

Subsidized food

Generous leave policy

Transport provided

Job summary

Elsevier invites applications for a Senior Data Analyst - AI Evaluation role focused on evaluating AI-powered life sciences solutions using LLM-as-jury methods. You will develop evaluation rubrics, adapt automated approaches, and validate results with scientific domain experts to ensure robust evidence for product decisions.

The role partners with product, data science, and engineering teams to shape evaluation strategies, datasets, and acceptance criteria that reflect real-world scientific and

Qualifications

• 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.

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.

Skills

AI evaluation experience

Life sciences data

Collaborative work

Data workflows

Education

Life sciences background

Tools

GitHub

APIs

Knowledge graphs

Job description

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.
• 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.

Equal Opportunity Employer

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.