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ELElsevier / Reaxys

Senior Data Discovery and Enrichment Expert(m/w/x)

Frankfurt am Main
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Analyzing large chemistry datasets, improving data extraction and structure at a global information and analytics provider for researchers. Experience with large-scale chemistry datasets and cheminformatics methods required. Shared parental leave and sabbaticals offered.

Requirements

  • Degree in Bioinformatics, Cheminformatics, or allied fields
  • Experience with large‑scale chemistry datasets
  • Understanding of testing methodologies
  • Experience applying cheminformatics methods
  • Understanding of life science information databases
  • Ability to build automated workflows
  • Collaborative and effective communication skills

Tasks

  • Analyze large chemistry datasets
  • Identify data quality issues
  • Improve data extraction and structure
  • Develop automated workflows and tests
  • Monitor and validate content accuracy
  • Collaborate with cross-functional partners
  • Enhance data enrichment processes
  • Design scalable data solutions
  • Improve scientific data reliability

Work Experience

  • approx. 4 - 6 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Knime

Benefits

Flexible Working

  • Healthy work-life balance
  • Flexible hybrid work environment

Mental Health Support

  • Wellbeing initiatives

Generous Parental Leave

  • Shared parental leave

Learning & Development

  • Study assistance

Workation & Sabbatical

  • Sabbaticals

Modern Equipment

  • AI development tools

Purpose-Driven Work

  • Fair and accessible hiring

Other Benefits

  • Disability accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Elsevier / Reaxys and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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