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Day 36
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At Relx, jobs usually come down by about day 24.
From 51 similar postings that came down, and 33 of Relx’s. Coming down is not always a hire.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
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.
Support manual and AI-assisted content extraction focused on materials chemistry
Advise on materials science data needs (polymers, batteries, catalysts, semiconductors)
Draft guidelines for content extraction and data normalization
Analyse data and write reports to guide content strategy and priorities
Perform quality assurance of materials chemistry data
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.
Support content enrichment activities, including both manual and AI-assisted automated content extraction, with a focus on materials chemistry content.
Provide subject-matter expertise on content types, data elements, and use cases of value to customers in materials science and related industries
Draft guidelines on content to be extracted and data normalization approaches
Perform data analysis and create data reports to support content strategy and prioritization decisions.
Perform quality assurance of materials chemistry data.
Requirement - PhD or post-doctoral experience in Materials Chemistry, Polymer Chemistry, or a closely related field, with hands-on laboratory or research experience. - Understanding of materials science applications and industries (e.g., energy storage, polymers, catalysis, semiconductors, or advanced materials) and the types of data and content valued by professionals in these fields.
A global leader in information and analytics, we help researchers and healthcare professionals' advance science and improve health outcomes for the benefit of society.
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Day 36
Similar jobs usually come down between day 4 and day 77.
At Relx, jobs usually come down by about day 24.
From 51 similar postings that came down, and 33 of Relx’s. Coming down is not always a hire.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Data Discovery and Enrichment Expert- Material Chemistry
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 new 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:
Requirement
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for You
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals' advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.







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Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: