Overview
The Research Applications Data Quality Analyst will be responsible for overseeing the accuracy, consistency, and completeness of data within the Yale Clinical Trial Management System and other research-related applications. This role involves working closely with clinical research operations and IT teams to ensure that all data related to clinical trials is accurately recorded, maintained, and reported in a timely manner. The ideal candidate will have a strong background in data management, analytical skills, and an understanding of clinical trial processes.
Principal Responsibilities
- Data Quality Management: Ensure the accuracy, completeness, and consistency of data within the research applications by conducting regular data audits, validation checks, and discrepancy resolution.
- Monitoring and Reporting: Develop and implement data quality metrics and dashboards to monitor data quality trends and provide regular reports to stakeholders.
- Process Improvement: Identify areas for process improvement and recommend solutions to enhance data quality and streamline data entry workflows.
- Training and Support: Provide feedback to training team by identifying opportunities to improve data quality.
- Documentation: Maintain detailed documentation of data quality processes, findings, and corrective actions taken.
- Compliance: Ensure compliance with regulatory requirements and organizational policies related to data management and clinical trials.
Required Skills and Abilities
- Analytical Skills: Strong analytical skills with the ability to interpret complex data sets and identify trends, discrepancies, and issues.
- Technical Skills: Proficiency in clinical research software and other data management tools; strong knowledge of Excel and data visualization tools is a plus.
- Attention to Detail: Exceptional attention to detail with a commitment to maintaining high data quality standards.
- Communication: Excellent verbal and written communication skills, with the ability to effectively communicate data-related concepts to non-technical stakeholders. Ability to work collaboratively with cross-functional teams and build strong working relationships.
- Problem Solving: Strong problem-solving skills with the ability to identify root causes of data issues and implement effective solutions.
Preferred Education, Skills and Abilities
- Bachelor’s degree in a related field such as Data Management, Information Technology, Life Sciences, or equivalent experience.
- Minimum of 2 years of experience in data quality management, preferably within a clinical trial environment, or 5 years of experience working with clinical trial data systems.
- Experience with regulatory requirements related to clinical trials (e.g., FDA, ICH-GCP, 21 CFR Part 11).
- Experience with Epic Research module is a plus.
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