Senior Data Discovery and Enrichment Expert I

Are you passionate about research and eager to work in a dynamic, international environment?

Do you want to ensure that cutting-edge Generative AI (GEN AI) solutions meet the highest standards of trust, quality, and reliability—advancing science and education globally?

About Our Team

Our team plays a critical role in supporting GEN AI development evaluations for Elsevier’s Academic and Government (A&G) division. We uphold stringent quality standards for delivered content, empowering researchers, institutions, and governments to foster discovery, innovation, and societal benefit.

About the Role

You will primarily focus on supporting LeapSpace, a flagship product designed to provide researchers with intelligent, contextual, and personalized assistance throughout their entire research lifecycle—from ideation and funding acquisition to planning, analysis, and writing. This project is central to Elsevier’s vision of transforming research workflows with AI.

Responsibilities

• Co-design and execute development evaluations for GEN AI products within Elsevier’s Academic and Government (A&G) division.

• Ensure that the evaluation processes are aligned with our Elsevier Evaluation playbook, global Responsible AI and research integrity principles.

• Collaborate with data scientists, product managers, and other stakeholders to ensure evaluation criteria align with product goals and Responsible AI principles.

• Analyze evaluation data to provide actionable insights and recommendations for model improvements.

• Ensure AI outputs are accurate, explainable, unbiased, and equitable.

• Communicate evaluation findings clearly to technical and non-technical audiences.

• Contribute to continuous process improvement and knowledge sharing within the team and broader organization.

• Mentor junior team members and support cross-functional collaboration.

Requirements

• Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biotechnology or a related field. PhD is a plus.

• 5+ years of experience in academic research, scientific publishing, or research technology.

• Experience in conducting evaluations of AI or machine learning models, preferably in academic or research-focused environments.

• Strong understanding of Responsible AI principles, including fairness, transparency, and accountability.

• Proficiency with statistical analysis, experimental design, and evaluation metrics.

• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.

• Strong collaboration skills and experience working in cross-functional teams.

• Detail-oriented with strong problem-solving abilities and a growth mindset.

• Familiarity with research lifecycle and academic publishing processes is a plus.

• A strong focus on results and quality.

• Ability to maintain and build-out relationships in a matrix and multicultural organization.

• Excellent organizational skills and attention to detail.

Reporting Line and Division

You will report to the Senior Manager of Data Discovery and Enrichment Experts and be an integral part of the AI Evaluation, DDE and Process Innovation division.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your 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

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:-

• 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

• Recruitment introduction rewards

• Work from anywhere

• Employee Assistance Program (global)

• Annual Event

About Business

At Elsevier, we help the world of research to make high-value decisions with confidence through a rich portfolio of services and products such as Scopus, Pure, and SciVal. The high-quality connected data and insights that these products provide come from our Research Data Platform (RDP), the data powerhouse of Elsevier’s analytics business. RDP follows Data Mesh principles and is organized in domains, one of which is focusing on identifying and linking topics and concepts found in scientific text.