Remote Clinical Data Associate II - Data Quality & UAT

Worldwide Clinical Trials; United States; Remote; USD 230 - 400; Full time

Job summary

Worldwide Clinical Trials is seeking a Clinical Data Associate II for a remote role based in Argentina. You will contribute to day-to-day data management, data cleaning, UAT, and study documentation, collaborating with global teams across time zones.

We value attention to detail and the ability to work independently while supporting trial outcomes and data integrity. A Bachelor's degree in a relevant field and at least 1 year of experience, plus English proficiency, are required.

Qualifications

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

Skills

Proficiency in English

Education

Bachelor’s degree or higher in biomedical sciences, life sciences, computer science, or related discipline

Job description

Worldwide Clinical Trials is seeking a Clinical Data Associate II for a remote role based in Argentina. You will contribute to day-to-day data management, data cleaning, UAT, and study documentation, collaborating with global teams across time zones.

We value attention to detail and the ability to work independently while supporting trial outcomes and data integrity. A Bachelor's degree in a relevant field and at least 1 year of experience, plus English proficiency, are required.