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.

About our Team

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.

About the Role

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.

Responsibilities

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.

Requirements

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.

Nice to Have

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.

What We Offer

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 entitlement
Corporate Benefits and employee discount programs
Access to learning and development resources to support your career growth
International collaboration with colleagues across Europe, Asia, the UK, and the Americas
A diverse and inclusive workplace where everyone can thrive
Opportunities to contribute to products that accelerate scientific discovery and innovation worldwide
Work in a Way That Works for You We promote flexible working arrangements to help our employees balance professional and personal responsibilities. We are committed to supporting wellbeing, inclusion, and long-term career development.

Elsevier is an Equal Opportunity Employer. We are committed to providing a fair and accessible recruitment process and creating an inclusive environment where all employees can succeed. We value diversity and welcome applications from individuals of all backgrounds.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.

By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.

With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.

Elsevier is part of RELX Group. Let’s shape progress together. Join us. elsevier.com/about/careers

Compensation

Primary Location Base Pay Range: Germany - Frankfurt (Baseler Platz) €62,200 - €103,500. If performed in NLD Amsterdam (Radarweg), the base pay range is €59,300 - €98,800. This job may be subject to a collective labor agreement in the Netherlands.

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