Do you enjoy combining chemistry expertise with GenAI search techniques to help users find the right scientific information faster?
Are you excited about shaping how researchers search, retrieve, and interact with chemistry data using next‑generation AI solutions?
About our Team
Our team transforms scientific information into structured data and works closely with Data Science and Technology partners to design, train, and validate current AI‑driven search capabilities. Together, we contribute our expertise to deliver innovative solutions that enhance how chemistry knowledge is discovered.
About the Role
As a Data Discovery and Enrichment Expert, you will bring chemistry expertise together with GenAI search practices to optimise how users find and retrieve chemistry information. You will help design and evaluate GenAI‑based search behaviours, create high‑quality test sets for training and validation, and collaborate with Data Science and Technology partners to shape new AI search solutions for Reaxys.
Responsibilities:
• Support the development and validation of chemistry connectors for agentic solutions.
• Create test sets and evaluation datasets to assess the quality, accuracy, and reliability of chemistry connectors.
• Analyze connector outputs against expected results, identifying gaps, errors, or edge cases.
• Perform data analysis and create reports summarizing evaluation results and recommendations.
• Partner with cross-functional teams to communicate findings and support issue resolution.
Requirement
• PhD or post-doctoral experience in Organic Chemistry or a closely related field, with hands-on laboratory or research experience.
• Ability to design evaluation/test datasets and assess the quality of outputs from chemistry-related tools or systems.
• Understanding of how chemistry data is structured, represented, and retrieved in scientific information systems (e.g., databases, taxonomies, or similar platforms).
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