Clinical Research Data Analyst (Contract)

Noom is a consumer-led digital health company, focused on helping people live better, longer. They are seeking a part-time Contract Clinical Research Data Analyst to support clinical data quality and integrity across research initiatives, ensuring datasets are accurate and analysis-ready.

Responsibilities:

• Perform ongoing review of clinical data for completeness, accuracy, and consistency across studies
• Generate, track, and resolve data queries in collaboration with study coordinators, sites, and data management teams
• Execute manual and automated data validation checks to identify discrepancies, protocol deviations, outliers, and missing data
• Ensure datasets meet predefined quality standards prior to analysis and database lock
• Support configuration, review, and maintenance of Electronic Data Capture (EDC) systems, including edit checks and case report forms (CRFs)
• Conduct data cleaning and reconciliation activities across multiple data sources, including adverse events, concomitant medications, laboratory data, and external vendor datasets
• Maintain traceability of data changes and ensure audit readiness
• Generate data quality metrics, status reports, and query tracking dashboards
• Collaborate cross-functionally with Clinical Operations, Biostatistics, and Regulatory teams to deliver high-quality, analysis-ready datasets

Requirements:

• 2+ years of experience in clinical data management, clinical data review, or a related role
• Bachelor's degree in Life Sciences, Public Health, Biostatistics, or a related field
• Hands-on experience with Electronic Data Capture (EDC) systems (e.g., Medidata Rave, REDCap, or similar)
• Experience with cloud-based data engineering and analytics platforms (e.g., Databricks, Looker, Hex)
• Strong proficiency in SQL and at least one statistical or programming language (e.g., Python, R)
• Strong understanding of clinical trial processes, GCP, and data management best practices
• Experience with data cleaning, query management, and reconciliation activities
• High attention to detail with strong analytical and problem-solving skills
• Ability to manage multiple priorities in a fast-paced environment
• Strong communication and cross-functional collaboration skills