YCCI Research Applications Data Quality Analyst

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.

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.

Principal Responsibilities

1. Develops the initial project charter and clarify the project scope, requirements, measurable outcomes, and project benefits in collaboration with process owners. 2. Documents the "as is" and "to be" business processes using standard process modeling tools and process improvement methodologies. 3. Decomposes high-level business and user requirements into functional requirements. Manages the development of functional specifications by collaborating with process owners; gathering business requirements; creating functional specifications; and identifying, documenting, and resolving design issues 4. Represents requirements using alternative views, such as analysis models (diagrams), prototypes, or scenarios. Provides compelling and concise analysis to enable business owners to make well informed decisions regarding options for problem resolution and opportunity realization. 5. Leads requirements analysis and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable, and that they conform to standards. 6. Contributes in testing and quality assurance process. Collaborates with developers and end-users to insure that application functionality meets client needs. Tests solutions, problem-solve issues, and coordinate enhancements. 7. Responsible for requirements prioritization and solution risk analysis. 8. Plans and communicates the departmental readiness plan. Supports metrics integration and execution for optimal results. 9. Develops and delivers training to end users. 10. May perform other duties as assigned. Required Education and Experience Bachelor's degree in business, technology or related field. Four years of related experience in analysis of business needs and development of related business systems or an equivalent combination of education and experience.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.