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Putting people at the center of the R&D talent model in life sciences
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Magazine Article
Putting people at the center of the R&D talent model in life sciences
2025
Overview
[...]AI is increasingly enabling data-driven decision-making across the product life cycle, from AI-supported drug candidate selection to real-time clinical trial site monitoring. According to our research, R&D is perceived as 1.5 times more bureaucratic and has a perceived 1.1 times slower execution speed than the combined pharmaceutical and medtech averages. To achieve this, organizations must optimize their organizational structure, behaviors, and skills to drive decisive and transparent decision-making. [...]85 percent of innovation leaders;report that fear often or always holds their personnel back from innovation.
Publisher
McKinsey & Company, Inc
Subject
