YCCI Research Applications Data Quality Analyst

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

1. Analytical Skills: Strong analytical skills with the ability to interpret complex data sets and identify trends, discrepancies, and issues.
2. Technical Skills: Proficiency in clinical research software and other data management tools; strong knowledge of Excel and data visualization tools is a plus.
3. Attention to Detail: Exceptional attention to detail with a commitment to maintaining high data quality standards.
4. 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.
5. 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

1. Bachelor’s degree in a related field such as Data Management, Information Technology, Life Sciences, or equivalent experience.
2. 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.
3. Experience with regulatory requirements related to clinical trials (e.g., FDA, ICH-GCP, 21 CFR Part 11).
4. Experience with Epic Research module is a plus.