Guides

How Biotech and MedTech Companies Can Secure and Keep Top AI Talent in 2025

In Biotech and MedTech, hiring the right AI or data expert isn't just about skills - it's about timing, integration, and long-term fit. Our latest guide explores why top talent isn’t applying, what drives early exits, and how leaders are adapting their strategies to secure and keep high-impact hires. Whether you're scaling a digital team or refining your retention playbook, this is your roadmap to staying ahead in 2025.

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Reaching technical talent takes more than a job ad

In the first half of 2025, life sciences job applications surged by over 90%, but job postings declined by 36%. Competition is fierce, and timing matters. The candidates you actually want aren’t hitting “apply now”. They’re assessing the credibility of your mission, your infrastructure, and your ability to deliver.

This guide looks at why the best talent is often invisible to job boards, what causes offer rejections even when salary is strong, and why retention in AI/data roles is increasingly tied to onboarding, integration, and purpose - not perks.

We also share real-world examples of how hiring timelines can make or break high-impact roles.

 

If you’re hiring or planning to in the remaining part of the year, make sure you dive into these insights to help shape your talent strategy for 2025.

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Why This Guide Will Transform Your Hiring Process

Understand the real reasons highly skilled AI and data professionals aren’t responding to generic outreach and how tailored engagement shifts the dial.

Explore the subtler causes of declined offers from cultural mismatches to weak technical alignment that often go unnoticed until it’s too late.

See how smart MedTech and HealthTech employers accelerate decisions without sacrificing quality creating processes that genuinely attract in-demand talent.

Learn how organisations are combining technical and domain expertise in ways that improve integration, collaboration, and long-term retention.

Gain insight from real MedTech and HealthTech hiring outcomes where speed, market knowledge, and process design directly changed the result.

Use evidence, examples, and market context to transform assumptions about AI and data hiring into informed strategies that produce real results.

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