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

Novartis; Barcelona; Híbrido; EUR 29.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible/hybrid working

Descripción de la vacante

Novartis in Barcelona is seeking an Associate Clinical Programmer to advance our Central Monitoring platform and Risk-Based Quality Management initiatives. You will develop analytics dashboards, data pipelines, and reports for global clinical studies, translating medical requirements into scalable technical solutions.

Join a cross-functional team driving data-driven operations, quality checks, and proactive insights to accelerate medical innovation while supporting a hybrid work model and

Formación

• Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field.
• Ideally 2-3 years of experience in clinical programming, clinical data analytics, or Risk-Based Quality Management. Knowledge and capabilities in SAS/R programming.
• Statistical Analysis System programming exposure, including tasks such as data extraction, transformation, derivation, and reporting.
• Working knowledge of SAS, AI/ML, R/Python/SQL; ability to write clean, simple code and queries.
• Familiarity with BI tools (Power BI, Spotfire, Tableau) for standard visualizations.
• Strong understanding of clinical trial data structures and clinical operations processes.
• Experience developing Key Risk Indicators, Quality Tolerance Limits, analytics outputs, or monitoring reports.
• Working knowledge of Risk-Based Quality Management principles and cross-functional collaboration within clinical development environments.

Responsabilidades

• Contribute to Central Monitoring Platform outputs development using Statistical Analysis System programming and clinical data standards.
• Develop analytics dashboards, reports ( KRIs, QTLs and DQA like statistical tests), data pipelines, and monitoring outputs for clinical operations.
• Translate business needs into practical, scalable technical solutions that improve user experience.
• Perform operations like 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 monitoring data.
• Support existing dashboards, reports, and pipelines through scheduled refreshes and performance monitoring.

Conocimientos

SAS/R programming

R/Python/SQL

Statistical Analysis System

BI tools (Power BI, Spotfire, Tableau)

clinical trial data structures

Key Risk Indicators

Quality Tolerance Limits

RBQM principles

Educación

Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field

Herramientas

SAS

Python

SQL

Power BI

Spotfire

Tableau

Descripción del empleo

Salary Range:

€27,900.00 - €51,900.00

Band

Level 2

Job Description Summary

#LI-Hybrid

Location: Barcelona Gran Via

Relocation Support: Relocation support is typically not available for this role; Please only apply if our Barcelona office location is accessible for you.

We operate a hybrid working arrangement with an expectation of 12 days a month in office.

Imagine transforming complex clinical trial data into actionable insights that accelerate medical innovation and improve patient outcomes worldwide. As an Associate Clinical Programmer at Novartis, you will be significant contributor in advancing Risk-Based Quality Management (RbQM) and our Central Monitoring platform. You will participate in data-driven clinical operations through advanced analytics, intelligent reporting, and scalable technology solutions. Working alongside cross-functional experts, you will help shape the future of clinical data operations by delivering meaningful insights, driving operational excellence, and enabling smarter decisions across global clinical studies.

Key Responsibilities

• Contribute to Central Monitoring Platform outputs development using Statistical Analysis System programming and clinical data standards.

• Develop analytics dashboards, reports ( KRIs, QTLs and DQA like statistical tests), data pipelines, and monitoring outputs for clinical operations.

• Translate business needs into practical, scalable technical solutions that improve user experience.

• Perform operations like 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 monitoring data.

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

Essential Requirements

• Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field.

• Ideally 2-3 years of experience in clinical programming, clinical data analytics, or Risk-Based Quality Management. Knowledge and capabilities in SAS/R programming.

• Statistical Analysis System programming exposure, including tasks such as data extraction, transformation, derivation, and reporting.

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

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

• Strong understanding of clinical trial data structures and clinical operations processes.

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

• Working knowledge of Risk-Based Quality Management principles and cross-functional collaboration within clinical development environments.

Desirable Requirements

• Experience working in a clinical operations environment with Risk-Based Quality Management and knowledge of CluePoints platform

• Understanding of Clinical Data Interchange Standards Consortium standards, including Study Data Tabulation Model (SDTM and Analysis Data Model (ADaM).

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

The expected Annual Base Salary Range for this role: €27,900.00 - 51,900.00

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering:

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity and Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Skills Desired

Central Monitoring, Clinical Data, Clinical Data Analysis, Clinical Trials, Computer Programming, Data Analysis, Monitoring Tools, Programming Languages