0926-IND-178 - Cheminformatics Expert
Elsevier (company site, opens in a new tab)On-siteDirect career pageEst. 18–32 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Ensure accuracy and quality of automated pipelines extracting chemistry data from documents.
- Identify and analyze quality issues in large chemistry datasets, build test sets, and develop automated validation workflows.
- Collaborate with Data Science, Product, and Technology teams to continuously improve data extraction and enrichment processes.
Minimum Requirements
- PhD in Chemistry.
- Experience working with large-scale chemistry datasets and applying cheminformatics methods for data quality evaluation.
- Knowledge of major life science or chemistry information databases.
- Technical ability to build automated workflows for content quality monitoring (e.g., Python, Knime).
Ideal Candidate Profile
- Experienced in combining chemistry expertise with quality assurance in AI-driven data pipelines.
- Able to analyze large scientific datasets to identify systematic errors and design scalable solutions.
- Proven collaborator working effectively with scientific and technical partners to improve data reliability and consistency.