Overview In this role you contribute to the Central Monitoring Platform and Risk-Based Quality Management initiatives by turning clinical data into actionable insights. You will work with cross-functional teams to design analytics outputs, dashboards, and data pipelines that support clinical operations and smarter decision-making. The role combines data-driven analytics with scalable tech solutions to improve study quality and patient outcomes.

This is a hybrid, Barcelona-based opportunity with a strong emphasis on impact and collaboration.

Compensaciones / Ventajas insurance plans retirement plans wellbeing resources global recognition programs flexible and hybrid working options minimum 14 weeks paid parental leave

Responsabilidades Contribute to Central Monitoring Platform outputs development using SAS programming and clinical data standards

Develop analytics dashboards, reports (KRIs, QTLs, DQA) and data pipelines for clinical operations

Translate business needs into scalable technical solutions to improve user experience

Perform ETL: extract, clean, merge, subset, and derive clinical and operational datasets

Partner with study teams, statisticians, and Central Monitoring colleagues to clarify output requirements





Participate in quality checks and validation routines to ensure complete, accurate reports and monitoring data

Support existing dashboards, reports, and pipelines through scheduled refreshes and performance monitoring

Requisitos principales Bachelor's degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or related field

2-3 years of experience in clinical programming, clinical data analytics, or Risk-Based Quality Management

Knowledge of SAS/R programming and SAS data handling tasks

Working knowledge of SAS, AI/ML, R/Python/SQL; ability to write clean code and queries

Familiarity with BI tools (Power BI, Spotfire, Tableau) for visualizations

Strong understanding of clinical trial data structures and processes

Experience developing Key Risk Indicators, Quality Tolerance Limits, analytics outputs, or monitoring reports

Knowledge of Risk-Based Quality Management principles and cross-functional collaboration in clinical development environments

Cross-functional collaboration

Analytical mindset

Problem-solving

SAS programming

R/Python/SQL

BI tools (Power BI, Spotfire, Tableau)

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