Remote Clinical Data Reviewer - Data Quality & Monitoring

PSI; Buenos Aires; À distance; ARS 40 000 - 70 000; Plein temps

Résumé du poste

PSI is seeking a dedicated Clinical Monitoring professional to help monitor study data remotely, identify data integrity issues, and support risk-based monitoring activities. You will work with a closely-knit team to ensure participant safety and high-quality data across studies.

The role emphasizes analytical thinking, data-driven problem solving, and collaboration within a dynamic clinical operations environment.

Qualifications

• Bachelor’s degree in a relevant field.
• At least 1 year of experience in the Clinical Research Industry.
• Clinical Monitoring experience is an advantage.
• English proficiency at CEFR B2 level or above.
• Proficiency in MS Office applications.
• Analytical mindset and attention to detail.
• Ability to learn, plan and work effectively in a dynamic team environment.

Responsabilités

• Review clinical data remotely and identify errors, systemic issues and trends related to data integrity, participant safety and site performance.
• Generate, follow up and resolve data queries and site issues, and identify potential protocol deviations.
• Develop and maintain study-specific Central Data Review tools, templates and tracking materials.
• Support the setup and management of risk-based and central monitoring tools and activities.
• Assist with central monitoring signal review, root cause investigation and follow-up.
• Support the Central Monitoring Manager with study data, documents and reports.
• Contribute to inspection readiness, including eTMF QC and study archive activities.

Connaissances

Analytical mindset

Attention to detail

Teamwork

Formation

Bachelor’s degree

Outils

MS Office

Description du poste

PSI is seeking a dedicated Clinical Monitoring professional to help monitor study data remotely, identify data integrity issues, and support risk-based monitoring activities. You will work with a closely-knit team to ensure participant safety and high-quality data across studies.

The role emphasizes analytical thinking, data-driven problem solving, and collaboration within a dynamic clinical operations environment.