Data Quality Analyst

Job Summary

Working remotely in a full-time capacity, the Data Quality Analyst will evaluate scientific data submissions in translational research for accuracy and completeness while contributing to the development of efficient data workflows and continuous improvements in data quality processes.

Key Responsibilities

• 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
• Collaborate with scientific staff and informatics teams to resolve discrepancies and improve data quality

Required Qualifications

• Bachelor's degree in a relevant scientific or data-related discipline
• Familiarity with pre-clinical research methods and experimental design
• Strong attention to detail with the capacity to identify inconsistencies in scientific data
• Ability to follow established data quality workflows and contribute to process documentation
• Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team