Level

RELX

Data Discovery and Enrichment Expert- Material Chemistry

RELX is hiring a Data Discovery and Enrichment Expert- Material Chemistry. Level rates it ; you can apply on RELX.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting mentions GenAI, Python and materials chemistry among its tools and skills.
  • Level classes it as a senior role.
  • RELX has 809 other open roles on Level.

AI in this role

Expert in materials chemistry to design and evaluate GenAI-based search capabilities and content enrichment systems.

genaipython
materials-chemistrydata-enrichmentcontent-extractiondataset-creation


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:

  • 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 beyond traditional small-molecule pharma (e.g., polymers, batteries, catalysts, semiconductors, advanced materials).
  • Draft guidelines on content to be extracted and data normalization approaches that meet the needs of materials science researchers and industry partners.
  • 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.
  • Ability to design evaluation datasets and assess the quality of extracted content.
  • Understanding of how materials chemistry data is structured, represented, and retrieved in scientific information systems (e.g., databases, taxonomies, or similar platforms).
  • Strong analytical and communication skills, with the ability to collaborate effectively with scientific and technical partners.

 

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:

  • Comprehensive Health Insurance: Covers you, your immediate family, and parents.
  • Enhanced Health Insurance Options: Competitive rates negotiated by the company.
  • Group Life Insurance: Ensuring financial security for your loved ones.
  • Group Accident Insurance: Extra protection for accidental death and permanent disablement.
  • Flexible Working Arrangement: Achieve a harmonious work-life balance.
  • Employee Assistance Program: Access support for personal and work-related challenges.
  • Medical Screening: Your well-being is a top priority.
  • Modern Family Benefits: Maternity, paternity, and adoption support.
  • Long-Service Awards: Recognizing dedication and commitment.
  • New Baby Gift: Celebrating the joy of parenthood.
  • Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
  • Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
  • Free Transport pick up and drop from the home -office - home (applies in Chennai)

 

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.

 

 

 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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How we rate this

Data Discovery and Enrichment Expert- Material Chemistry at RELX rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Materials ChemistryData EnrichmentContent ExtractionDataset CreationGenAIPython

Questions you could be asked

  1. Tell me about a project where materials chemistry was part of your work. What did you do?
  2. Tell me about a project where data enrichment was part of your work. What did you do?
  3. Tell me about a project where content extraction was part of your work. What did you do?
  4. Tell me about a project where dataset creation was part of your work. What did you do?
  5. Walk me through how you've used GenAI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Materials Chemistry, Data Enrichment, Content Extraction, Dataset Creation, and GenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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