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

Novartis; Barcelona; Híbrido; EUR 42.000 - 68.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Insurance plans

Global recognition programs

Flexible and hybrid working options

14 weeks paid parental leave

Descripción de la vacante

Novartis in Barcelona, Catalonia, seeks an Associate Clinical Programmer to contribute to the Central Monitoring Platform and develop analytics outputs, dashboards, and data pipelines for clinical operations.

The role blends SAS programming with cross-functional collaboration to turn clinical data into actionable insights, KRIs, QTLs, and monitoring reports, shaping study quality and patient outcomes in a hybrid Barcelona-based setting.

Formación

• Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or related field.
• 2-3 years’ experience in clinical programming, 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

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

Conocimientos

SAS programming

R

Python

SQL

BI tools (Power BI, Spotfire, Tableau)

Cross-functional collaboration

Analytical mindset

Problem-solving

Educación

Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics

Herramientas

SAS

Power BI

Spotfire

Tableau

R

Python

Descripción del empleo

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.

• insurance plans
• global recognition programs
• flexible and hybrid working options
• minimum 14 weeks paid parental leave
• 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
• 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 - Novartis • barcelona, catalunya, es