Data Discovery and Enrichment Expert- Material Chemistry

Optimize user search and retrieval of materials chemistry information using combined chemistry expertise and GenAI search techniques.

Design and evaluate GenAI-based search behaviors; create high-quality test sets for training and validation in collaboration with Data Science and Technology teams.

Support and perform content enrichment (manual and AI-assisted), quality assurance, data analysis, and data reporting focused on materials chemistry content relevant to diverse industries.

PhD or post-doctoral experience in Materials Chemistry, Polymer Chemistry, or closely related field with hands-on laboratory or research experience.

Demonstrated understanding of materials science applications and industries (e.g., energy storage, polymers, catalysis, semiconductors, advanced materials) and corresponding data types valued by professionals.

Ability to design evaluation datasets and assess extracted content quality; knowledge of how materials chemistry data is structured and retrieved in scientific information systems.

Work Experience Required: Not explicitly mentioned in the JD.

Strong expertise integrating domain knowledge of materials chemistry with AI-driven search and data enrichment methods.

Experience working in interdisciplinary teams, collaborating effectively with scientific and technical partners to develop AI search solutions.

Familiarity with scientific information systems and content normalization to meet researcher and industry partner needs in materials science.