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    Blue Goat CyberBlue Goat CyberSMMedical Device Cybersecurity
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    Podcast · Episode 82

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

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

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    Christian Espinosa, Founder & CEO at Blue Goat Cyber

    By Christian Espinosa, MBA, CISSP

    Founder & CEO · Blue Goat Cyber

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    Key takeaways

    • The use of AI in both candidate screening and application processes is fundamentally changing the MedTech recruitment landscape.
    • Traditional "post and pray" recruitment methods are often ineffective, as strong candidates can be screened out while weaker candidates leverage AI to navigate the process.
    • Highly specialized roles in AI, machine learning, and cybersecurity within MedTech can remain open for months due to these recruitment challenges.
    • Incorrect talent decisions incur significant costs for companies, highlighting the need for improved hiring strategies.
    • The most desirable candidates frequently do not actively apply for jobs, necessitating a proactive and different approach to talent acquisition.
    • Companies should focus on transparently showcasing their culture and expectations to create better alignment with candidates before interviews, improving candidate experience and reducing costly mismatches.

    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

    13:48 The $9 billion impact associated with warning letters

    14:49 Why the best candidates are not applying to your job posts

    15:53 When AI starts interviewing AI

    16:45 Remote hiring, geography and compensation

    18:58 The story behind The Modern-Day Job

    36:51 Why values and alignment matter when choosing people

    40:33 Building teams around shared values and culture

    Notable quotes

    “What happens when AI starts screening job candidates who are also using AI to get through the screening process?”
    - Christian Espinosa
    “The best candidates often are not actively applying for jobs. They're doing well in their current role.”
    - Darwin Shurig
    “The cost of getting talent decisions wrong, even in a small company, can run into the hundreds of thousands of dollars.”
    - Darwin Shurig
    “Showing candidates the real culture and expectations of a company can help create better alignment before an interview ever takes place.”
    - Darwin Shurig

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