Summary

Work closely with project teams (FPL, DPPL, APL) and innovation teams to drive use of statistical and data science methods in combined lab and computational experimental planning, analysis and reporting for the development of synthetic molecule formulations. Enable scientists to independently work with basic statistical methods while directly supporting advanced statistical and AI tasks. Apply statistical and data science methods to generate business insights for continuous improvement and enhancing our ways of working.

About the Role

Your responsibilities will include, but are not limited to:

• Project manage own tasks and works with team members; plans proactively, anticipates, and actively manages change,
• Supports teams to set stakeholder expectations as required, identify operational risks and provide insights leading to effective mitigations.
• Collaborate with internal stakeholders, external partners, and cross-functional teams to solve critical business problems.
• Research, develop and/or co-develop new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.
• Quickly learn to use tools, data sources and analytical techniques needed to answer a wide range of critical business questions
• Assist in building and rolling out tools to enable scientific colleagues to effectively analyze large amounts of data using basic statistical tools with minimal oversight.
• Support the evaluation of novel software, visualization tools and new approaches to statistics and AI to increase efficiency and quality of the Novartis practices.
• Independently identify research articles and propose them for application to Novartis business problems.
• Develop automation for repeatedly refreshing analysis and generating insights.
• Articulate solutions/recommendations to business users.
• Present analytical content concisely and effectively
• Ability to provide understandable and actionable business intelligence for key stakeholders.