Clinical Research Data Analyst
N
Noom USDigital Health
Fully remoteContractMiddle
Salary40 - 45 USD per hour
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Job Details
- Experience
- 2+ years
- Required Skills
- PythonSQLGCPDatabricksLookerR
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
- Proficiency in 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
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
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