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

Benefits

Opportunity to directly impact the quality and integrity of Noom’s clinical research
Work with a collaborative, mission-driven, and cross-functional team
Contribute to cutting-edge digital health research in a growing organization

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

clinical data managementdata reviewdata validationdata cleaningdata reconciliationSQLPythonRcloud-based data engineeringdata analytics

Soft Skills

attention to detailanalytical skillsproblem-solving skillscommunication skillscross-functional collaborationability to manage multiple priorities