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 the role

The role will focus on building vocabularies and taxonomies for products such as Embase, Pentium, and Bio, with a significant emphasis on AI evaluation and mapping with existing systems.

Responsibilities

• Supporting various content enrichment activities, reference set creation, dictionaries maintenance or development.
• Development of taxonomies for first class pharmacovigilance database.
• Performing data preparations, data analysis and creating data reports.
• Performing quality assurance on large data set in the life science domain.
• Partnering with cross-functional teams while executing on projects.

Requirements

• Have a Master or PhD level in (bio)chemistry or closely related subject.
• Have experience with Life science/Chemistry/Pharmacological databases or information systems.
• Have a good understanding of quality assurance standards or best practices.
• Have care for details.
• Is experienced in contributing to projects and structuring work to meet deadlines.
• Be a great communicator with an ability to build relationships with cross-functional teams.

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 the 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.