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

Minimum Requirements:

• 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

Preferred Attributes:

• 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
  

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

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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