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Scientific Database Curator

Bioinformatics Scientists
Description
Curate, annotate, and maintain scientific databases supporting bioinformatics, biotechnology, and medical research. Design schemas, metadata standards, and ingest/validation pipelines to integrate, quality-check, and link genomic and other biological information; collaborate with researchers and software engineers to ensure accuracy, usability, and compliant access.
  • • Recommend new data models, ontologies, and curation workflows to improve database operations.
  • • Stay current with data standards, ontologies, instrumentation, and curation software.
  • • Coordinate with research, product, and operations teams to prioritize database features and content.
  • • Collaborate with software developers to implement and modify curation tools and APIs.
  • • Test and validate new and updated database features, pipelines, and tools.
  • • Provide controlled vocabularies, metadata templates, and guidance for data submission and annotation.
  • • Generate summary statistics, release notes, and data dictionaries for database content.
  • • Train users and staff in data submission, querying, and curation best practices.
  • • Improve user interfaces and search capabilities for databases and portals.
  • • Lead or coordinate the work of curators, technicians, and data managers.
  • • Develop ETL scripts and pipelines to ingest, normalize, and de-duplicate datasets.
  • • Design and maintain database schemas and indexes for performance and integrity.
  • • Create or modify web-based data access and curation tools.
  • • Develop and apply data validation, parsing, and record-linkage algorithms.
  • • Create novel approaches for data harmonization, provenance tracking, and integration.
  • • Aggregate, annotate, and harmonize datasets (genomics, proteomics, metabolomics, clinical) for inclusion.
  • • Document and communicate database updates through reports, documentation, and publications.
  • • Ingest, cross-reference, and reconcile public, commercial, and proprietary datasets.
  • • Consult with researchers to define metadata standards, access policies, and computational strategies.
  • • Perform quality control audits and integrity checks on large molecular and clinical datasets.
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Last reviewed: Jan 2026
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