Clinical Data Associate II

We’re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world’s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence.

We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs – in the best possible way.

Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit.

We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us!

Accurate clinical data is essential to advancing research, and your work will help ensure study data is complete, reliable, and ready to support critical decisions. As a Clinical Data Associate II, you'll play a key role in day-to-day data management activities across clinical studies while collaborating with internal and external teams.

In this role, you'll contribute to the quality and integrity of clinical trial data through data review, reconciliation, testing, and study documentation activities. Your attention to detail and ability to work independently will help drive efficient study execution and support successful trial outcomes.

This is a REMOTE role open to candidates based in Argentina. You will collaborate with global teams across multiple time zones.

• →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.
  

• 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.

We love knowing that someone is going to have a better life because of the work we do. 

To view our other roles, check out our careers page at Discover a world of difference at Worldwide! For more information on Worldwide, visit www.Worldwide.com or connect with us on LinkedIn.

Worldwide is an equal opportunity employer that is committed to enabling professionals from all backgrounds and experiences to succeed and, to that end, we prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and creativity. We know that when our employees feel appreciated and included, they can be more creative, innovative, and successful. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We provide equal employment opportunities to all employees and applicants regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, military status, or other class protected by applicable law.