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Elsevier is seeking a Cheminformatician to join their Reaxys team in Frankfurt, Germany. The role focuses on optimizing AI-driven search techniques for chemistry data, requiring a strong background in cheminformatics and collaboration with data science teams.
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Job Summary
This role combines chemistry expertise with GenAI search techniques to help users find scientific information faster.
The successful candidate will design and curate large chemistry test sets to support the training and evaluation of GenAI-based search models.
Elsevier offers a flexible hybrid work environment, wellbeing initiatives, and the opportunity to work on a high-impact platform used by scientists worldwide.
Matching Summary
Match Score: 75
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Elsevier is seeking a Cheminformatician to join their Reaxys team in Frankfurt, Germany. The role focuses on optimizing AI-driven search techniques for chemistry data, requiring a strong background in cheminformatics and collaboration with data science teams.
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Skills & Requirements
Must-have
Master's or PhD in organic cheminformatics
Strong Python programming skills
Experience with big chemistry datasets
Understanding of chemical data structures
Ability to evaluate AI-generated search results
Nice-to-have
Collaboration with Data Science partners
Knowledge of natural language search techniques
Experience with taxonomies and databases
Strong analytical communication skills
Key Requirements
Master's / PhD in organic cheminformatics
Background in chemistry related scientific discipline