Marketing and Strategy Intern
BREEGA
Data Quality Analyst, Translational Research
Digital Infuzion
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
About the role
- 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 (Data Quality Manager and Scientific Program Manager)
- Support the translation of data workflows into transparent, structured processes adaptable 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
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
- Preferred: 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
