GenAI Data Discovery Expert - Materials Chemistry

Elsevier; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Flexible Working Arrangement

Employee Assistance Program

Medical Screening

Long‑Service Awards

New Baby Gift

Job summary

Elsevier is seeking a Data Discovery and Enrichment Expert to blend chemistry expertise with GenAI search practices to optimize how users find and retrieve chemistry information. You will 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 AI search solutions for Reaxys.

The role emphasizes enrichment of materials chemistry content, evaluation dataset design, and

Qualifications

• PhD or post‑doctoral experience in Materials Chemistry, Polymer Chemistry, or a closely related field.
• Strong analytical and communication skills.
• Ability to design evaluation datasets and assess content quality.
• Understanding of how materials chemistry data is structured and retrieved in information systems.

Responsibilities

• Support content enrichment with manual and AI-assisted extraction for materials chemistry content.
• Provide subject‑matter expertise on data elements and use cases valuable to researchers.
• Draft guidelines on extraction and data normalization for materials science needs.
• Perform data analysis and create reports to guide content strategy and prioritization.
• Perform quality assurance of materials chemistry data.

Skills

Strong analytical and communication

Dataset design for evaluation

Materials chemistry knowledge

Collaboration with data science teams

Education

PhD or post‑doctoral in Materials/Polymer Chemistry or related field

Job description

Elsevier is seeking a Data Discovery and Enrichment Expert to blend chemistry expertise with GenAI search practices to optimize how users find and retrieve chemistry information. You will 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 AI search solutions for Reaxys.

The role emphasizes enrichment of materials chemistry content, evaluation dataset design, and