Senior Data Discovery and Enrichment Expert II

You will be assigned as Senior Data Discovery and Enrichment expert. You will be a key part of our agile team to support activities around data enrichment, maintenance and innovative development. You will work with other Data Discovery and Enrichment Experts to secure our high-quality standards., * Supporting various content enrichment activities, reference set creation, dictionaries maintenance or development.

• Stakeholder engagement with product and tech teams - capturing requirements for projects and reporting regularly on improvements and changes related to their product taxonomies.
• Performing data preparations, data analysis and creating data reports.
• Partnering with cross-functional teams while executing on projects, 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

• Have a Masters or PhD level in biology, (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 for taxonomy/ontology management and governance
• 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
• Experience with Python, SPARQL, or SHACL would be ideal

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.