Clinical trials are becoming ever more data‑driven, and your biostatistics team must adapt. The global AI-in-clinical-trials market is projected to explode (from about $2.0 B in 2024 to $22.4 B by 2034), and analysts estimate that 60–70% of trials will integrate AI tools by 2030. In practice, that means sponsors need professionals who can handle machine learning, big data, and complex analytics along with traditional statistics. Biostatisticians who also understand AI and cloud data pipelines will be in highest demand.

Key roles to consider:
- Data Scientists & ML Engineers
- Clinical Data Analysts/Engineers
- Biostatisticians & Programmers
- Cross-Functional Leads

To assemble such a team, many sponsors use a mixed approach: hiring full-time experts where strategic, while augmenting with contractors or functional service providers for flexibility. Partnering with a life-sciences talent solutions firm allows you to rapidly scale a hybrid team of statisticians, data engineers, and programmers vetted in both clinical research and analytics. This model delivers domain expertise combined with data science skills, so your team can quickly leverage AI in trial design and execution.

By building teams that unite biostatistics and data science, organizations can operationalize “connected intelligence” and achieve faster, smarter trials.