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 .
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- 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.
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