- Understand complex and critical business problems, formulate integrated analytical approaches to mine data sources, employ statistical methods and machine learning algorithms to help solve unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repeated tasks.
- Manage the implementation and adherence to the data lifecycle of enterprise data-from acquisition or creation through enrichment, consumption, retention, and retirement-ensuring the availability of clean, accurate data throughout its useful life.
- Demonstrate high agility to work across various business domains.
- Integrate business presentations, smart visualization tools, and contextual storytelling to translate findings into clear business impact.
- Independently manage budgets, ensure appropriate staffing, and coordinate projects within the area.
- If managing a team: empower the team, provide guidance and coaching, with initial guidance from senior leaders. This is typically the first managerial role.
About the Role
Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives.
We are optimizing our processes, investing in new technologies, and building depth and capabilities in specific therapeutic areas and platforms to bring medicines to patients faster.
We seek talented individuals like you to join us and help give people with disease and their families a brighter future.
Apply today and thrive together.
The Role
As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for applying data science methodologies to patient-level data (clinical, real-world, and biomarker data) across clinical development. You will combine your data science, AI skills, and scientific knowledge in biology or medicine to support drug development decisions in collaboration with internal and external partners.
This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.
Key Accountabilities:
- Contribute to planning, execution, interpretation, validation, and communication of innovative analyses and algorithms to aid decision-making.
- Provide technical expertise in data science and machine learning/AI to identify influencing opportunities and contribute to white papers/regulatory discussions.
- Perform hands-on analysis of integrated data to generate evidence for decision-making in drug development.
Your Experience
- Ph.D. in data science, biostatistics, or a related quantitative field (or equivalent).
- Over 3 years of experience in clinical drug development with extensive clinical trial exposure.
- Strong knowledge of statistical methods, machine learning, and clinical trial design.
- Proficiency in R and Python, with skills in data visualization, exploratory analysis, and predictive modeling.
- Excellent communication skills, both verbal and written.
Why Novartis: Helping people takes more than science; it requires a community of passionate individuals working together to achieve breakthroughs. Join us to create a brighter future:
Commitment to Diversity & Inclusion: We are committed to building an inclusive, diverse environment reflecting the communities we serve.
Join our talent community to stay connected:
GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
Functional Area: Data and Digital
Job Type: Full-time
Employment Type: Regular
Shift Work: No