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Responsibilities

• Understand complex business problems and formulate analytical approaches using statistical methods and machine learning algorithms to solve unmet medical needs, discover insights, and automate processes.
• Manage the data lifecycle, ensuring data quality, availability, and compliance across enterprise systems.
• Translate findings into business impact through presentations, visualizations, and storytelling.
• Manage budgets, staffing, and project coordination. If managing a team, provide guidance, coaching, and supervision, typically as a first-time people manager.

About The Role

As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will work on data science methodologies applied to patient-level data across clinical development, collaborating internally and externally to support drug development decisions. This role offers a hybrid work model, with 3 days per week in our London Office.

Key Accountabilities

• Plan, execute, interpret, validate, and communicate exploratory analyses and algorithms to facilitate decision-making.
• Provide expertise in data science and AI to influence internal decisions and contribute to white papers/regulatory discussions.
• Analyze clinical trial and real-world data to generate evidence for drug development.

Your Experience

• Ph.D. in data science, biostatistics, or related field.
• Over 3 years of experience in clinical drug development and clinical trials.
• Strong knowledge of statistical methods and programming in R and Python.
• Excellent communication skills and ability to present findings clearly.

Why Novartis

We are committed to reimagining medicine to improve lives, investing in new technologies, and building a diverse, inclusive team. Join us to help give patients a brighter future.

Additional Information

This role is based in London with hybrid working. For more details and to apply, visit our careers page or sign up for our talent network.

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