Julia O’Neill has over 30 years of experience bridging statistics and chemical engineering in vaccines, biologics, pharmaceutical and chemical development and manufacturing. Her current areas of focus include statistical, validation and regulatory strategy support for a broad range of novel accelerated products, including multiple breakthrough designation and orphan drugs. She has a passion for applying statistical thinking to more rapidly establish the evidence needed to bring forward medicines addressing unmet medical needs. Through her many years of statistical practice and certification as a Six Sigma Master Black Belt, she has mastered an extensive range of quantitative problem-solving methods. Prior to founding Direxa, O'Neill held positions as Principal Consultant at Tunnell Consulting and Director of Engineering for Global Technical Operations at Merck and Co., where she was responsible for development and deployment of process robustness strategy for manufacturing. Her team designed and installed Continued Process Verification for all vaccines and biologics, supported CPV for all human health products, and resolved some of the most complex issues in viral vaccine manufacturing. Previous positions include Senior Scientific Fellow of Statistics in Regulatory & Analytical Sciences at Merck, and research and development technical and management roles at Rohm and Haas, a specialty chemicals company. She earned an MS in statistics from the University of Wisconsin-Madison and a BS in chemical engineering from the University of Maine.
Building a Culture of Analytic Excellence
Do you have a strategy for building analytic excellence in your organization?
Your competitors do. Organizations that take an enterprise approach to analytics outperform their competition. By making analytics the cornerstone of problem solving and decision making in every facet of business, you’ll generate more insights, accelerate innovation and create value.
Maybe you work in an industry characterized by speed and precision, but just a few groups in your organization are comfortable with analytics methods. Or maybe you collaborate with a team that doesn’t know the value of data-driven decision making – yet. How do you influence your organization to adopt an analytical mindset?
Join us for a day of disussions on how to inspire a shared vision of analytics use at your organization and the practical considerations for making a data-driven culture a reality.
Learning objectives
- Encouraging your colleagues to gain the confidence and skills to apply statistical methods.
- Fostering multi-disciplinary collaboration among those who know data analytics and those with domain expertise.
- Determining the best tools to explore, analyze and share data effectively.
Agenda
9:00-10:00 | Coffee & Queries: Informal time to chat with JMP experts |
10:00-11:00 | Panel Discussion |
11:00-11:15 | Networking Break |
11:15-12:00 | Presentation |
12:00-13:30 | Lunch |
13:30-14:30 | Coffee & Queries: Informal time to chat with JMP experts |