Senior Cheminformatics Expert (m/f/d)

RELX

Frankfurt, Germany
**
Cheminformatics methods for data quality
Automated workflows for content validation
Large-scale chemistry datasets experience
** The Senior Cheminformatics Expert position at RELX in Frankfurt, Germany offers a role focused on enhancing the quality of large chemistry datasets through automated processes and collaboration with data science and technology teams. The ideal candidate should have a strong background in cheminformatics and relevant coding skills. **

Job Summary

  • Reaxys is a comprehensive and powerful cloud hosted and deep-tech data searching tool used worldwide by chemists and researchers to retrieve chemistry patents, reactions, and substance data.
  • As a Senior Cheminformatics Expert, you will build automated processes to monitor content quality and collaborate with Data Science and Technology partners to drive improvements.
  • The company promotes a healthy work/life balance with wellbeing initiatives, shared parental leave, study assistance, sabbaticals, and a flexible hybrid work environment.

Matching Summary

Match Score: 75

** The Senior Cheminformatics Expert position at RELX in Frankfurt, Germany offers a role focused on enhancing the quality of large chemistry datasets through automated processes and collaboration with data science and technology teams. The ideal candidate should have a strong background in cheminformatics and relevant coding skills. **

Skills & Requirements

Must-have

  • Cheminformatics methods for data quality
  • Automated workflows for content validation
  • Large-scale chemistry datasets experience
  • Collaboration with scientific and technical teams
  • Coding skills in Python or Knime

Nice-to-have

  • Hybrid work environment
  • AI technologies for data extraction
  • Strong quality assurance processes
  • Flexible work-life balance
  • Experience with chemistry information databases

Key Requirements

  • Master's or PhD in Bioinformatics, Cheminformatics, Computational Biology/Chemistry
  • Experience with large-scale chemistry datasets
  • Understanding of testing methodologies for data quality
  • Ability to build automated workflows (Python, Knime or similar)
  • Effective communication with scientific and technical partners

Work Rights

Not specified

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