Remote Centralized Monitoring Analyst (CMA) – SAS Expert

CONVOTIS Iberia; Elche; Remote; EUR 60,000 - 90,000; Full time

Job summary

CONVOTIS Iberia is seeking a Clinical Monitoring Analyst (Cluepoints) to work remotely. The role requires strong SAS programming skills and hands-on experience with Cluepoints, centralized monitoring, data management and biostatistics.

The CMA will interact with clients and internal teams to manage CM activities across studies. Key responsibilities include developing CM strategy, programming QTL/KRI and data quality assessments, and maintaining CM specifications while ensuring adherence to CMP

Qualifications

• 3+ years in pharmaceutical R&D or related field with centralized monitoring, data management or biostatistics.
• 2-3 years SAS experience including macro language.
• Knowledge/experience working on Cluepoints.
• Ability to work autonomously and engage with stakeholders to support study-level CM processes.
• Understanding of basic statistical concepts and data confidentiality.

Responsibilities

• Supports the Centralized Monitoring Lead in developing CM strategy by identifying CM elements for the study (QTL, KRI, data visualizations, Data Quality Assessments).
• Setup/Program QTL, KRI and Data Quality Assessments per the CMP.
• Refresh CM Platform at predefined frequency to enable signal detection.
• Generate and maintain CM platform specifications and file in eTMF.
• Review and understand study protocol and data sources.
• Execute and document peer-review of CM platform setups by CMA colleagues.

Skills

SAS programming

Cluepoints

Centralized Monitoring

Data management

Biostatistics

Communication

Organizational skills

Regulatory knowledge

Data visualization

Tools

Cluepoints platform

Job description

CONVOTIS Iberia is seeking a Clinical Monitoring Analyst (Cluepoints) to work remotely. The role requires strong SAS programming skills and hands-on experience with Cluepoints, centralized monitoring, data management and biostatistics.

The CMA will interact with clients and internal teams to manage CM activities across studies. Key responsibilities include developing CM strategy, programming QTL/KRI and data quality assessments, and maintaining CM specifications while ensuring adherence to CMP