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.