Data Discovery and Enrichment Expert- Material Chemistry
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Job Description
Structured overview of role & requirementsAbout This Role
Optimize chemistry information retrieval using domain expertise and GenAI search techniques, focusing on materials chemistry content.
Design and evaluate GenAI-based search behaviors and create high-quality test sets for training and validation.
Collaborate with Data Science and Technology teams to develop AI-driven search solutions and perform quality assurance on materials chemistry data.
Minimum Requirements
PhD or post-doctoral experience in Materials Chemistry, Polymer Chemistry, or closely related field with hands-on lab or research experience.
Understanding of materials science applications and industries such as energy storage, polymers, catalysis, semiconductors, or advanced materials.
Ability to design evaluation datasets and assess quality of extracted content.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Expertise in materials chemistry and deep knowledge of data types valued by professionals in materials science industries beyond pharma.
Experience working with structured scientific information systems, databases, or taxonomies related to materials chemistry data.
Demonstrated capability to collaborate effectively with scientific and technical teams and analyze data for content strategy decisions.