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Empowering decision making and accelerating insights in biomedical informatics
Data Quality Analyst – Translational Research
Location
United States
Posted
122 days ago
Salary
0
Seniority
Senior
Job Description
Data Quality Analyst – Translational Research
Digital Infuzion
• Review scientific data submissions for completeness, accuracy, and adherence to defined standards. • Evaluate the consistency and scientific relevance of data and flag potential issues for review. • Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff. • Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review. • Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality. • Assist in monitoring data quality metrics and document trends or recurring issues. • Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices. • Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives.
Job Requirements
- Bachelor’s degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
- Familiarity with pre-clinical research methods and experimental design.
- Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data.
- Ability to follow established data quality workflows and contribute to process documentation.
- Strong written and verbal communication skills, with the ability to summarize findings clearly.
- Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team.
- Master’s degree in a relevant scientific or data-related field (preferred).
- Understanding of controlled vocabularies, ontologies, and biomedical data standards (preferred).
- Familiarity with database systems, structured data models, or data submission pipelines (preferred).
- Exposure to human-in-the-loop AI processes and automation in data review workflows (preferred).
- Experience with quality control, process improvement, or research data management (preferred).
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
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