U.S. life science consultancies face a rare talent blend shortage: experts fluent in technical AI/data science who can commercially apply it to pharma clients. Pharma's AI skills gap persists due to education lag, regulatory barriers, and scarcity of senior data scientists with drug development expertise, blocking quick hires of raw AI talent. Demand surges for cross-functional AI talent in drug discovery, clinical trials, and commercial ops, but recruitment alone can't close the gap fast amid security and experience needs. Big drugmakers struggle to attract top young AI experts, who prefer tech firms, leading to in-house buildouts and hybrid roles over outsourcing. AI reshapes biopharma hiring with K-shaped recovery: high demand for AI-savvy specialists in market access and analytics, but young talent resists due to hybrid work limits, title compression, and cultural mismatches. Sources:
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