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Summary
The Head of DAx Data Science will create a vision, roadmap and drive the execution of a data science strategy aligned with DAx priorities, including enabling the discovery of translational biomarkers and disease relevant target candidates
We are seeking a visionary and strategic leader to serve as the Head of Data Science for Disease Area X (DAx). This role, reporting to the Department Head and a member of the Leadership Team, will lead a multidisciplinary team of data scientists and computational biologists to drive innovation in drug discovery and translational research. They influence the external environment as a thought leader and are a key contributor to strategic long-term decision-making by Novartis Senior Management.
The ideal candidate will have deep expertise in biomedical data, a strong track record of scientific leadership, and the ability to translate complex data into actionable insights that accelerate therapeutic and biomarker development
About The Role
Major accountabilities:
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
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
The Head of DAx Data Science will create a vision, roadmap and drive the execution of a data science strategy aligned with DAx priorities, including enabling the discovery of translational biomarkers and disease relevant target candidates
We are seeking a visionary and strategic leader to serve as the Head of Data Science for Disease Area X (DAx). This role, reporting to the Department Head and a member of the Leadership Team, will lead a multidisciplinary team of data scientists and computational biologists to drive innovation in drug discovery and translational research. They influence the external environment as a thought leader and are a key contributor to strategic long-term decision-making by Novartis Senior Management.
The ideal candidate will have deep expertise in biomedical data, a strong track record of scientific leadership, and the ability to translate complex data into actionable insights that accelerate therapeutic and biomarker development
About The Role
Major accountabilities:
- Create a vision, roadmap and drive the execution of a data science strategy aligned with DAx priorities, including enabling the discovery of translational biomarkers and disease relevant target candidates.
- Shape, mentor and lead a high-performing team of data scientists and computational experts across global sites, fostering a collaborative and innovative work environment.
- Drive the development of human-centric, data-driven disease in silico models using clinical, genetic, and multi-omic data.
- Drive innovation and continually develop the team’s and own knowledge in the areas of statistics, deep learning, Machine Learning, AI and related topics.
- Partner with discovery, clinical, and digital teams to integrate data science into all stages of the R&D pipeline. Collaborate with researchers and clinicians to identify data needs and provide actionable recommendations, communicate through regular interaction the team
- Ensure robust data governance, model validation, and reproducibility standards across all projects.
- Represent the organization in external collaborations, conferences, and consortia to stay at the forefront of biomedical data science.
- Explore and evaluate new data sources to drive Insights and innovation and to identify opportunities for improvement
- As a member of DAx Leadership team, provide input into the DAx overall strategy
- MS or Ph.D. in Computational Biology, Bioinformatics, Data Science, or a related field.
- 10 + years of experience in biomedical research, with at least 5 years in a Data Science leadership role.
- Proven track record of successfully managing and leading data science teams and/or of applying data science to drug discovery or translational research.
- Experience in applying machine learning algorithms and advanced analytics to biomedical research; Expertise in machine learning, statistical modeling, and multi-omics integration.
- Ability to work collaboratively with cross-functional teams and stakeholders
- Strong communication skills and ability to influence across scientific and executive audiences
- Good coaching and mentoring skills
- Experience with real-world evidence, biobank data, or clinical trial analytics.
- Familiarity with regulatory considerations for data-driven biomarker development.
- Passion for people development and contributing to transformational medicines
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
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Key Skills
Ranked by relevance
dax
machine learning
deep learning
ai
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- Posted
- Aug 08, 2025
- Type
- Full-time
- Level
- Director
- Location
- Basel
- Company
- Novartis
Industries
Pharmaceutical Manufacturing
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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