Why the Best MedTech Candidates Aren’t Applying to Your Jobs with Darwin Shurig | Ep 82

What happens when AI starts screening job candidates who are also using AI to get through the screening process?

In this episode of the Med Device Cyber Podcast, Christian Espinosa speaks with Darwin Shurig, founder of Top Talent Accelerant, about why recruiting in MedTech is becoming increasingly difficult and what companies can do to avoid costly hiring mistakes.

Darwin explores why traditional “post and pray” recruitment is breaking down, how strong candidates can be screened out while weaker candidates use AI to get through the process, and why some highly specialized roles in AI, machine learning and cybersecurity are remaining open for months.

The conversation also looks at the enormous cost of getting talent decisions wrong, why the best candidates often are not actively applying for jobs, and how showing candidates the real culture and expectations of a company can help create better alignment before an interview ever takes place.

Darwin also shares the personal journey behind his book, The Modern-Day Job, and how major changes in his business and personal life led him to reconsider success, purpose and the importance of the people we choose to work with.

In This Episode:01:13 Darwin’s journey from critical care to MedTech recruiting

04:38 Why recruiting has become such a crowded industry

06:55 The cost of getting the hiring process wrong

09:00 How AI is changing candidate screening

10:11 Why specialized MedTech roles can stay open for months

11:26 Why traditional hiring processes need to change

12:31 Creating a better candidate experience