Director of Data Science Products presso Novartis

Key Responsibilities: 

• Lead development of open-source products supporting clinical trial design and analysis in a GxP environment 

• Oversee product lifecycle, balancing enhancements, maintenance, and compliance priorities 

• Champion agile, user-centric development with iterative delivery and transparent prioritization 

• Establish robust testing frameworks to ensure product quality and reliability 

• Coach and mentor product teams, fostering collaboration and continuous improvement 

• Break down complex challenges into actionable steps for systematic progress 

• Shape strategic roadmaps in partnership with senior leadership 

Essential Requirements: 

• Master’s degree in a quantitative or computational science (e.g. computer science, statistics, mathematics) 

• 10+ years developing scalable analytics solutions using open-source languages that deliver business value 

• 5+ years leading product management for statistical or analytical tools using agile methodologies 

• Strong leadership and communication skills to mentor and inspire cross-functional teams 

• Proven experience analyzing product KPIs to drive continuous improvement and user engagement 

• - Expert-level proficiency in R and Python with deep understanding of software development best practices 

Desirable Requirements: 

• Strong understanding of clinical trial processes, statistical analysis, and regulatory submission requirements 

• Experience contributing to open-source projects in the pharmaceutical sector, especially in R, Julia, or Python 

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 

Commitment to Diversity & Inclusion 

We are committed to building an outstanding, inclusive work environment and diverse  teams representative of the patients and communities we serve.