Associate Clinical Data Analyst Overview • The Associate Clinical Data Analyst role focuses on quality control and data processing activities within clinical data management systems. • This is a six-month contract position, fully remote, offering flexibility and collaboration opportunities. • Responsibilities include QC review of sponsor data transfers and fulfillment of data requests for active agreements. • Support database enhancements, migrations, and modernization activities for clinical data platforms. • Assist with medical coding efforts for adverse events and medication history across large participant datasets. • Engage in data discrepancy reviews, image reconciliation, and tracking efforts for pilot sites. • Contribute to the development of new biorepository studies and data extraction processes. • Collaborate in a fast-paced, team-oriented environment to ensure data accuracy and compliance. Associate Clinical Data Analyst Key Responsibilities & Duties • Perform QC reviews of sponsor data transfers and manage data requests for active agreements. • Support RAVE migrations, including database enhancements and platform modernization activities. • Assist with medical coding efforts, including query management and backlog reviews. • Conduct data QC activities for radiology reports and lesion data records. • Review data discrepancy listings and reconcile image tracking efforts bi-weekly. • Manage bulk data uploads and support pilot site data extraction processes. • Develop testing scripts and execute testing for electronic data capture systems. • Ensure compliance with FDA and ICH guidelines, GCP, and Clinical Data Management standards. Associate Clinical Data Analyst Job Requirements • Bachelor's degree in Life Science, Computer Science, IT, Statistics, Biology, or related field. • Minimum 3 years of clinical data experience; 4 years preferred. • Proficiency in Clinical Data Management Systems, Medidata Rave® experience is a plus. • Knowledge of clinical data models such as CDISC, OMOP, or PCORnet. • Strong analytical skills for data collection, organization, and analysis. • Experience with data ingestion, standardization, harmonization, and lineage processes. • Understanding of medical dictionary coding standards and regulatory guidelines. • Excellent interpersonal, communication, and organizational skills for multitasking in a team environment.