Experteer Overview In this role you will transform complex clinical trial data into actionable insights that accelerate medical innovation and improve patient outcomes. You’ll advance risk-based quality management and our Central Monitoring platform while shaping data-driven clinical operations. You’ll work with cross-functional teams to deliver analytics, reporting, and scalable tech solutions that enable smarter decisions across global studies. This is a hands-on role at the intersection of programming, analytics, and operational excellence, offering meaningful impact in clinical data operations.Compensaciones / Incentivos
- Configure Central Monitoring Platform outputs using SAS programming and clinical data standards
- Develop analytics dashboards, reports, data pipelines, and monitoring outputs for clinical operations
- Translate business needs into scalable technical solutions to improve user experience
- Extract, clean, merge, subset, and derive clinical and operational datasets
- Partner with study teams, statisticians, and Central Monitoring colleagues to clarify output requirements
- Execute quality checks and validation routines to ensure complete, accurate monitoring data
- Support existing dashboards, reports, and pipelines through scheduled refreshes and performance monitoring
- Coach associate programmers,



share technical knowledge, and contribute to reusable programming standardsResponsabilidades
- Bachelor's degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field
- 6-7 years of experience in clinical programming/clinical data analytics with knowledge of RBQM
- Advanced Clinical programming expertise including data extraction, transformation, derivation, and reporting
- Experience in clinical data analytics, reporting, RBQM or technology implementation at scale
- Proficiency in SAS, R/Python/SQL; ability to write clean code
- Familiarity with BI tools (Power BI, Spotfire, Tableau) for visualizations
- Strong understanding of clinical trial data structures and operations processes
- Use of AI tools for processes, automation and real-time data analytics
- Experience developing Key Risk Indicators, Quality Tolerance Limits, analytics outputs, or monitoring reports
- Working knowledge of RBQM principles and cross-functional collaboration in clinical developmentRequisitos principales
- insurance plans
- retirement plans
- wellbeing resources
- global recognition programs
- flexible and hybrid working options
- minimum 14 weeks paid parental leave

📌 Expert Clinical Programmer - Clinical Study Data, Risk Based Quality Management & Monitoring (Barcelona)
🏢 Novartis
📍 Barcelona