Insight
What Candidates in Life Sciences Already Know About Your Hiring Process
AI-driven hiring processes lack human interaction.
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Something is changing in the way candidates experience hiring, and in life sciences, people are feeling it. I’ve spoken directly with candidates who have spent decades building distinguished careers and highly specialized expertise in this industry. They applied for roles, completed multiple steps in the process, and never once spoke to another human being. The rejection came through an automated system, no conversation, no context, no acknowledgment beyond a generic email.
The word they use most often is demoralized.
This distinction is important because demoralization in a specialized, close-knit industry persists over time.
The research confirms what candidates are already experiencing. Greenhouse found that 63% of U.S. job seekers have experienced an AI interview, 38% have withdrawn from a hiring process because of AI involvement, and 70% say the use of AI was never disclosed before it happened. HireVue's 2025 candidate research points in the same direction: 79% of candidates say transparency about AI use is not optional to them. Candidates are not opposed to AI in hiring. They oppose being processed by it without acknowledgment.
The problem is not the technology. It is the design.
Companies adopted AI hiring tools to solve a real operational problem. Application volume exploded, recruiting teams were stretched thin, and the pressure to move faster never eased. In life sciences specifically, BioSpace reported that job postings declined 20% year over year in the first quarter of 2025 while applications surged 91%. The volume problem is real.
However, in prioritizing speed, many companies have created a visibility problem. Candidates do not object to efficiency; they object to invisibility. When they describe the process as shouting into a void or being rejected before a human reviews their application, their concern is not automation itself. It is the lack of transparency, acknowledgment, and human judgment at key stages.
This absence has broader consequences. In life sciences, talent networks are tightly connected, and reputations spread quickly among investors, operators, scientific leaders, and specialized candidates. An opaque or fully automated hiring process quickly becomes a market signal. CareerArc research shows that 72% of candidates with a negative hiring experience share it, either online or directly. In a small industry, this effect compounds rapidly.
The most thoughtful companies are not slower; they are more intentional about where human judgment is applied. AI can assist with screening, scheduling, and early assessment, but it cannot replace the moment when a candidate feels recognized by someone within the company.
That moment does not need to be elaborate. It could be a brief conversation before an interview, a clear explanation of how AI is used and what to expect next, or a rejection that acknowledges the candidate's time with specificity and respect. These are not superficial gestures; they reflect decisions about the institution you are building.
Candidates increasingly view the hiring process as a reflection of company culture. They ask directly: if this is how the company treats applicants, how does it treat current employees? Gallup's 2025 workforce report found that two-thirds of recent hires accepted offers due to an exceptional or very good recruitment experience. The opposite also holds true.
For life sciences founders scaling into more complex organizations, hiring practices, communication, and how rejection is handled all signal company values to the talent market. This message reaches candidates well before offers are made and long after rejections are sent. Building organizational infrastructure that includes meaningful human touchpoints helps protect reputation and supports scientific progress.
The candidates you want are already paying attention.
References: Greenhouse. AI in Hiring: Candidate Experience Survey. 2025. HireVue. Candidate Perceptions of AI in Hiring. 2024–2025. BioSpace / IntuitionLabs. Life Sciences Job Market Analysis. Q1 2025. CareerArc. Employer Branding and Candidate Experience Study. Employer Brand Statistics, 2025–2026. Gallup. Workforce Report. 2025.
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Disclaimer
The insights shared here are drawn from our work advising life sciences organizations on human capital strategy, compensation architecture, and workforce compliance. While we provide strategic HR advisory services to our clients, the content of this article is intended for general informational purposes and should not be construed as legal advice. Regulatory and market conditions evolve; organizations should consult qualified legal counsel before making specific employment or compliance decisions. For guidance tailored to your organization, contact our team.