Remote Clinical Data Associate II: Data Quality & Trials

Worldwide; Buenos Aires; Hybrid; ARS 600,000 - 900,000; Full time

Job summary

Worldwide is seeking a Clinical Data Associate II to join our remote team in Argentina. You will perform data cleaning, review database pages for data issues, and prepare study-specific metrics to support data management across clinical studies.

You will also conduct UAT on EDC databases, review vendor reconciliations, and perform DQA procedures to maintain high data integrity, contributing to successful trial outcomes.

Qualifications

• Bachelor’s degree or higher in biomedical sciences, life sciences, computer science, a related discipline, or equivalent relevant experience.
• Minimum of 1 year of relevant industry experience in clinical research, data management, or a related field.
• Proficiency in English.

Responsibilities

• Perform data cleaning activities, including query review and closure, to support data quality and study timelines.
• Review database pages and identify data issues to help ensure accurate and complete clinical trial records.
• Prepare and distribute study-specific data management metrics to internal and external stakeholders.
• Conduct User Acceptance Testing (UAT) of EDC databases to support system readiness and performance.
• Review third-party vendor data reconciliations and help resolve discrepancies.
• Perform Database Quality Assessment (DQA) reviews to maintain high standards of data integrity.
• Review SAS listings and data checks, taking appropriate action on queries and findings.
• Prepare end-of-study media and documentation to support trial archival activities.
• Submit final study documents to the Trial Master File in a timely and organized manner.

Education

Bachelor’s degree or higher in biomedical sciences, life sciences, computer science, a related discipline, or equivalent relevant experience

Job description

Worldwide is seeking a Clinical Data Associate II to join our remote team in Argentina. You will perform data cleaning, review database pages for data issues, and prepare study-specific metrics to support data management across clinical studies.

You will also conduct UAT on EDC databases, review vendor reconciliations, and perform DQA procedures to maintain high data integrity, contributing to successful trial outcomes.