Associate Clinical Data Analyst

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.