Key Responsibilities:

• Transform complex clinical data into intelligent, actionable insights that inform decision-making across Clinical Trial Teams
• Drive collaboration across Data Quality Teams to enhance data strategy, data quality, site experience, and patient safety utilizing the Disease Area, Data Standards & Protocol Knowledge.
• Partner with Central Monitoring (CM) and Data Management) Leads to promote risk-based data review approaches within CDO.
• Leverage data analytics and visualisation tools such as Power BI and Spotfire to uncover trends, patterns, and emerging risks
• Contribute to advanced data quality initiatives such as anomaly detection and continuous improvement of insight generation capabilities
• Drive risk‑based analytics by proactively identifying Critical-to-Quality (CtQ) risks and prioritizing data review through advanced analytical approaches.
• Implement operational interventions that enhance data quality and accelerate study cycle times.

Essential Requirements:

• Extensive experience in clinical data operations within clinical trials, with strong understanding of clinical trial delivery. Ideally a minimum of 10-12 years working experience in a Life Sciences environment with extensive exposure to Clinical Trials and Clinical Operations
• Proven track record in driving operational excellence within pharmaceutical or clinical research environments
• Proven industry-based experience in clinical data management, clinical programming, RbQM, analytics, and technology transformation.
• Strong ability to generate intelligent, data-driven insights and influence decision-making across clinical teams
• Experience using data visualisation tools such as Power BI, Spotfire, or similar platforms to uncover trends and insights
• Demonstrated capability in data storytelling, translating complex data into clear, impactful narratives for stakeholders
• Knowledge of technology transformation, including automation, cloud platforms, and business intelligence tools, with awareness of programming languages such as SAS, R, or Python
• Strong understanding of clinical data technologies (e.g. EDC, clinical data hub, statistical computing environment, metadata management tools, J-Review), data standards such as Clinical Data Interchange Standards (Consortium Study Data Tabulation Model and Analysis Data Model), and regulatory compliance and data governance requirements
• Fluent written and verbal English essential

Benefits & Rewards

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

Expected Annual Base Salary Range for role: 55,370.00 - 102,830.00 EUR Annual

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.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)