Academic and Government Evaluation Lead

Elsevier; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global leader in information and analytics is seeking an experienced Academic and Government Evaluation Lead to drive evaluation strategies for AI-driven products. This role requires strong skills in evaluating AI models, leadership in multidisciplinary settings, and a solid educational background. You will ensure the accuracy and transparency of generative AI solutions that support trusted research outcomes in an inclusive workplace.

Benefits

Dutch Share Purchase Plan

Annual Profit Share Bonus

Comprehensive Pension Plan

Flexible working hours

Generous vacation entitlement

Wellbeing programs and gym facility in the office

Qualifications

• Solid experience in academic research and scientific publishing.
• Demonstrated expertise in evaluating AI or machine learning models.
• Proven experience developing frameworks for assessing content quality.

Responsibilities

• Set strategy for evaluating generative AI across products.
• Co-develop evaluation roadmaps with product teams.
• Design and oversee evaluations of product performance.

Skills

Communication skills

Evaluation of AI models

Knowledge of research workflows

Leadership in multidisciplinary teams

Thought leadership in AI ethics

Education

Masters degree in information science, data science, computational linguistics, or a STEM field

Tools

Scopus

ScienceDirect

Job description

Academic and Government Evaluation Lead

Do you thrive at the intersection of AI, research, and evaluation?

Do you enjoy partnering with data scientists, researchers, and product teams to ensure generative AI solutions meet the highest standards of trust, quality, and reliability in advancing science and education?

About our Team

Elsevier’s Academic and Government (A&G) division empowers researchers, institutions, and governments to advance discovery and innovation. Our Generative AI Evaluation team leads the design and execution of rigorous evaluation strategies for Elsevier’s AI-driven research and academic products—ensuring that outputs are accurate, explainable, equitable, and aligned with the principles of Responsible AI.

About the Role

We are seeking an experienced Academic and Government Evaluation Lead to lead evaluation strategy for Elsevier’s Academic and Government products. You will define frameworks for assessing the accuracy, transparency, and utility of generative AI in research workflows, guiding multidisciplinary teams across data science, product, and domain experts. This role combines strategic leadership with deep understanding of the research ecosystem—ensuring our AI systems support and accelerate trusted, evidence-based discovery.

Responsibilities

• Set and drive strategy for evaluating generative AI across research, academic, and government products, establishing frameworks to assess reliability, transparency, and bias.
• Co-develop evaluation roadmaps with product and data science teams to ensure AI models enhance research efficiency and integrity.
• Lead governance and standardization for evaluation processes, aligning with our Elsevier Evaluation playbook, global Responsible AI, and research integrity principles.
• Design and oversee evaluations of product performance across research domains.
• Enhance evaluation methodologies addressing factual accuracy, source grounding, bias mitigation, and reproducibility in scientific content generation.
• Foster cross-functional collaboration among research scientists, technologists, and academic partners to refine evaluation metrics and standards.
• Guide evolution of evaluation tooling and dashboards that surface insights into AI model performance and research impact.
• Mentor evaluation scientists and research specialists in applying rigorous evaluation methods to generative AI use cases.
• Represent Elsevier externally, contributing to industry standards and thought leadership in Responsible AI for research.

Requirements

• Masters degree or equivalent advanced degree in a research discipline (e.g., information science, data science, computational linguistics, or a STEM field).
• Solid experience in academic research, scientific publishing, or research technology.
• Demonstrated expertise in evaluating AI or machine learning models in research or scholarly communication contexts.
• Good understanding of research data workflows, scholarly metadata, and citation or bibliometric systems.
• Proven experience developing frameworks for assessing content quality, bias, or reproducibility in AI systems.
• Experience leading multidisciplinary evaluation or research teams in a global environment.
• Excellent communication skills—able to bridge complex technical and academic concepts across diverse stakeholders.
• Track record of thought leadership in research integrity, Responsible AI, or open science.
• Experience with Scopus, ScienceDirect, or similar scholarly databases preferred.
• Familiarity with regulatory or ethical frameworks for AI in research (e.g., EU AI Act, UNESCO, OECD AI principles).

Working with us

We are an equal opportunity employer committed to helping you succeed. You’ll join a collaborative, inclusive, and innovative environment where your work contributes to the advancement of global research and education.

Working for you

• Dutch Share Purchase Plan
• Annual Profit Share Bonus
• Comprehensive Pension Plan
• Home, office or commuting allowance
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption and Family Care leave
• Flexible working hours
• Personal Choice budget
• Variety of online training courses and career roadshows
• Wellbeing programs and gym facility in the office
• Internal communities and networks
• Various employee discounts

About Elsevier

Elsevier is a global leader in information and analytics, helping researchers and professionals advance science and improve outcomes for society. Building on our publishing heritage, we combine trusted information with powerful analytics and AI to empower discovery, accelerate innovation, and foster a more sustainable future.

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