Senior Data Discovery and Enrichment Expert ; m​/f​/d

Position:
Senior Data Discovery and Enrichment Expert – Company:
Elsevier –

Location:

Frankfurt or Amsterdam, hybrid (flexible). Are you passionate about cheminformatics and large-scale chemistry datasets that drive better scientific decisions? Do you enjoy developing automated quality checks and analytics to improve AI-driven content pipelines? Join our team and help transform scientific information into high-quality structured data that powers research and innovation worldwide.

Our team transforms scientific information from documents into structured, high-quality data for researchers worldwide. We focus on extracting, enriching, and validating chemistry content using advanced AI technologies and robust quality processes. Working closely with Data Science, Product, and Technology partners, we deliver trusted data solutions that support scientific discovery and enable researchers to make better-informed decisions.

As a Senior Data Discovery and Enrichment Expert, you will leverage your cheminformatics expertise and technical skills to evaluate, monitor, and continuously improve the quality of large-scale chemistry datasets. You will design automated quality controls, develop scalable validation workflows, and collaborate with cross-functional teams to optimize AI-driven content enrichment processes. Your work will directly influence the quality, scalability, and scientific value of our chemistry data assets, supporting researchers and innovators around the world.

• Analyze large chemistry datasets to identify quality issues and opportunities for improving data extraction, enrichment, and structure.
• Develop automated workflows, validation processes, and quality checks to monitor chemistry-related content.
• Design and implement scalable solutions that improve data accuracy, consistency, and reliability.
• Collaborate closely with Data Science, Product, and Technology teams to enhance enrichment workflows and content quality.
• Investigate data trends and quality risks, providing recommendations for continuous improvement.
• Support the evaluation and optimization of AI-driven content extraction and enrichment pipelines.
• Contribute scientific and technical expertise to strategic data quality initiatives.

• Proven experience working with large-scale chemistry datasets.
• Strong knowledge of cheminformatics methods and their application to data quality assessment and improvement.
• Experience with chemistry or life science information databases.
• Hands-on experience building automated workflows and content validation processes using Python, KNIME, or similar tools.
• Experience with chemistry data standardization, curation, and enrichment workflows.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively and work collaboratively across scientific and technical teams.
• Experience working in cross-functional environments with Data Science, Product, and Engineering stakeholders.
• Excellent written and verbal communication skills in English.

• Experience working with chemical structure and reaction databases.
• Knowledge of AI and machine learning applications for scientific content processing.
• Experience with cloud-based data platforms and analytics environments.
• Familiarity with scientific publishing, information solutions, or research workflows.

At Elsevier, we empower our employees to do their best work while maintaining a healthy work-life balance. We offer a collaborative and inclusive environment where innovation, learning, and personal growth are encouraged. For employees in Germany, we offer:

• Flexible and trust-based working hours
• Hybrid working model and Work From Anywhere opportunities
• Above-average annual vacation…