TL;DR
Chemistry AI Search & Evaluation Expert (AI): Optimizing how users find and retrieve chemistry information using GenAI search practices with an accent on designing and curating large chemistry test sets. Focus on guiding search relevance, prompting strategies, and retrieval optimization to build, test, and refine AI-driven search capabilities.
Location: Hybrid in Frankfurt, Germany
Company
Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
What you will do
- Design and curate large chemistry test sets to support training and evaluation of GenAI-based search models.
- Provide chemistry domain expertise to guide search relevance, prompting strategies, and retrieval optimization.
- Collaborate with Data Science and Technology partners to build, test, and refine AI-driven search capabilities.
- Analyze GenAI search results to identify quality issues and opportunities for improved accuracy and relevance.
Requirements
- Background in a chemistry-related scientific discipline.
- Master's/PhD or equivalent degree in Bioinformatics, Cheminformatics, Computational Biology/Chemistry, or allied fields.
- Ability to design evaluation datasets and assess the quality of AI-generated search results.
- Understanding of how chemistry data is structured, represented, and retrieved in scientific information systems.
- Solid technical understanding (e.g., data flows, APIs, GitHub).
- English: B2 required
Culture & Benefits
- Work on a high-impact platform used by scientists and innovators worldwide.
- Embrace the future of software engineering with AI development tools.
- Collaborate with a diverse, global team.
- Flexible hybrid work environment.
- Numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.