2025 Strategy Guide

Hiring and Keeping Top AI Talent in Biotech and MedTech

In 2025, the race for AI and data talent in life sciences is accelerating, but the most qualified candidates aren’t the ones applying. This guide unpacks what’s changed, why offers are getting declined, and how Biotech and MedTech companies are adapting their strategies to secure and retain high-impact technical talent. 

Whether you’re building out a digital team or future-proofing your workforce, this is your roadmap for navigating a fiercely competitive market.

 

What’s shifting in 2025

AI and data professionals are in demand, but they’re increasingly hard to reach and harder to retain. At Panda, we’re seeing a clear shift across the Biotech and MedTech sectors:

  • Applications are up overall, but job postings are down 36%
  • Top-tier AI talent isn’t active — 76% are not job-seeking
  • Offer rejection rates are rising due to mismatched expectations
  • Many hires leave within 18 months due to poor integration

The common thread? Most companies are still applying outdated hiring models to roles that require entirely new approaches.

This guide shows what the leaders in this space are doing differently and how you can too.

 

What’s inside the report

  • Why top AI and data candidates aren’t applying and how to engage them directly
  • What causes early exits and how to improve retention from day one
  • Real-world hiring outcomes including speed-to-hire benchmarks and placement case studies
  • How to compete with Big Tech by aligning mission, role clarity and infrastructure
  • Retention strategies that work beyond salary and benefits

If you’re hiring for data science, machine learning or AI innovation in Biotech or MedTech, this guide will help you avoid costly missteps and attract the talent that drives true impact.

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