Life sciences organizations are entering a new phase where scientific, technical, and regulatory forces are converging. As teams prepare for the next wave of transformation, 2026 is poised to bring meaningful shifts in how discovery, development, and clinical groups design studies, generate insights, and operationalize advanced analytics at scale. Join Domino Data Lab and AstraZeneca for a forward-looking discussion on the emerging trends that will shape the year ahead and what leaders can do now to position their teams for impact across both AI and modern data science practices.
Why join
- Hear AstraZeneca’s perspective on the trends that will matter most for data science and AI across R&D, clinical development, and digital transformation in 2026
- Get practical guidance on how data science and IT teams can prepare for rising expectations around model governance, analytical rigor, and operational readiness
- Learn how peers are planning for 2026 and what capabilities in data management, scientific computing, and AI-enabled workflows will differentiate organizations entering the next stage of life sciences innovation
Speakers
- Jamie O’Keefe, Head, Development and Regulatory Data, Digital & Technolody, Takeda
- Tiffany Fabianac, Director – FAIRR Analytics, Oncology Data Science & AI, AstraZeneca
- Chris McSpiritt, VP of Life Sciences Strategy, Domino Data Lab
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