Data Discovery and Enrichment Expert @Elsevier
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted Today

[Hiring] Data Discovery and Enrichment Expert @Elsevier

Today - Elsevier is hiring a remote Data Discovery and Enrichment Expert. 💸 Salary: unspecified 📍Location: India

Role Description

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 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.

Qualifications

  • 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.

Requirements

  • Work in a way that works for you, promoting a healthy work/life balance across the organization.
  • 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.

Benefits

  • 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).
Before You Apply
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remote Be aware of the location restriction for this remote position: India
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Data Discovery and Enrichment Expert @Elsevier
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted Today
Apply for this position
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️
remote Be aware of the location restriction for this remote position: India
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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