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Associate Clinical Programmer - Clinical Study Data, Risk based Quality Management & Monitoring

Descripción del empleo

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 / Beneficios
  • 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)

Información extra

Status
Activa
Estudios requeridos
E.S.O
Localización
Barcelona
Tipo de contrato
Tiempo completo
Publicado el
17-09-2026
Carnet de conducir
No
Vehículo
No
Carta de motivación
No

Barcelona | Tiempo completo | E.S.O

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