R Developer - Clinical Data (100% remote)

Darize is seeking an experienced and independent R Developer to join a global pharmaceutical project focused on building a unified ecosystem for Risk-Based Quality Management (RBQM). This role involves developing analytical solutions, automating reporting processes, and working closely with clinical trial data to support study teams in monitoring operational risks and quality factors.

Key responsibilities

• Develop and maintain R-based analytical solutions supporting the integrated RBQM ecosystem and statistical data monitoring.
• Create and enhance QTL reports, including QTL determination, target, SSLL, and non-statistical reports.
• Configure study-specific QTL logic, including threshold limits, exposure periods, and data paths.
• Work with clinical trial data and support data structures based on CDISC standards, particularly SDTM.
• Automate data processing and reporting workflows to improve consistency, traceability, and efficiency.

Requirements

• Strong commercial experience in R development and the ability to deliver solutions independently.
• Very good knowledge of R, including writing clean, modular, and reusable code for data analysis.
• Experience with clinical trial data gained in a pharmaceutical, biotechnology, or CRO environment.
• Knowledge of CDISC SDTM and an understanding of clinical data structures and standards.
• Experience with Quality Tolerance Limits (QTL) or statistical monitoring in risk-based quality management.

What we offer

• Dedicated Agent support for project continuity, client communication, and professional development.
• Access to Darize Learning & Development platform, including DataCamp and Coursera subscriptions.
• Comprehensive benefits package including private healthcare, life insurance, and sports cards.
• A community of experienced IT experts to exchange knowledge and collaborate on complex projects.