The Biggest Hiring Challenges Omics Companies Are Facing in 2025

As a Life Science Recruitment Specialist within the Omics space, I speak with leaders across the space daily, from start-ups in single-cell analysis to established names in proteomics and bioinformatics. One thing has become clear- recruitment in 2025 is not straight forward.

Whilst the industry is booming, that growth comes with pressure. Companies are innovating at speed, but the right talent is getting harder to find.

Here is what I am hearing the most from my clients and how we are helping them respond:

1/ Finding Niche, Hybrid Talent

Roles aren’t siloed anymore. Clients are looking for candidates who can blend their scientific understanding with data analysis, or lab experience with regulatory knowledge. These profiles aren’t easy to come by, and posting on a job board simply won’t work anymore. Here at Zenopa, a Life Science Recruitment Agency, we have built a network of talent within the life sciences and omics space, making it easier to access the right skillsets.

2/ Competing With Big Names

Big pharma companies and tech giants are aggressively hiring in omics right now, and with resources that smaller businesses are unable to match. We compete with this by emphasising culture, scientific purpose, flexibility and autonomy, which are huge draws for candidates, especially those that are leaving larger and less agile teams.

3/ Retaining the Right People

It is not just about getting the hire but actually retaining them. Candidates question us about progression pathways, product pipelines and company culture from the first conversation. We work with clients to ensure those stories are compelling, so when the offers go out, they stick.

Final Thoughts

While hiring in the omics space has become more complex, it doesn’t have to be a struggle. As a specialist Life Science recruitment agency, we understand your science, your challenges and your pace.

If you’re building out your team this year and want to attract the best in genomics, proteomics, metabolomics or bioinformatics, I’d love to have a conversation.