Overview

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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 xqziphu 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)
🏢 Jobrapido
📍 Barcelona