Remote Clinical Data Associate II

Worldwide Clinical Trials; Argentina; Remote; ARS 1,000,000 - 1,600,000; Full time

Job summary

Worldwide Clinical Trials is seeking a Clinical Data Associate II for a remote role based in Argentina. You will manage day-to-day data activities across clinical studies, collaborate with global teams, and help ensure data quality and integrity throughout the study lifecycle.

Your work includes data cleaning, data reviews, UAT of EDC systems, and preparing study documentation for archival. A background in clinical research and proficiency in English are required.

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 and query review to support data quality and study timelines.
• Review database pages and identify data issues to ensure accurate and complete 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 resolve discrepancies.
• Perform Database Quality Assessment (DQA) reviews to maintain data integrity.
• Review SAS listings and data checks, taking 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

Data management

Data quality

English proficiency

Attention to detail

Education

Bachelor's degree or higher in biomedical sciences or related field

Tools

EDC databases

SAS

Job description

Worldwide Clinical Trials is seeking a Clinical Data Associate II for a remote role based in Argentina. You will manage day-to-day data activities across clinical studies, collaborate with global teams, and help ensure data quality and integrity throughout the study lifecycle.

Your work includes data cleaning, data reviews, UAT of EDC systems, and preparing study documentation for archival. A background in clinical research and proficiency in English are required.