What Roles are Hardest to Fill in Pharma Right Now?

In the last 12 months, more than two dozen biopharma companies announced layoffs. For example, Novo Nordisk cut around 9,000 roles, about 11% of its workforce. On paper, that looks like a market full of available people. However, the pharma talent shortage means that when you try to fill a VP of Regulatory Affairs role, the search runs for eight months.

The contradiction is that the applications are plentiful, but the specific experience is missing. So the real questions that need to be answered are: which roles are genuinely hard to fill, why are they hard, and why does widening the search usually fail to help?

The hardest pharma roles to fill in 2026 fall into five areas: regulatory affairs, clinical operations, data and AI, CMC and biomanufacturing, and specialized scientific roles.

They all share one thing. Each needs deep subject knowledge plus direct, hands-on experience in a specific therapy, product type, or development stage. That combination is rare, so the pool of qualified people is small.

Why are regulatory affairs roles hard to fill? Regulatory affairs hiring is difficult because employers often need a rare combination of scientific knowledge, current regulatory expertise, therapeutic-area experience, and firsthand submission experience. Each of these skills is common on its own, but finding all four in one person, for the same product type and market, is not.

Clinical operations is one of the hardest functions to hire for in 2026, together with R&D leadership and regulatory affairs. That’s because general knowledge of clinical trials is no longer enough. Employers want experience in the exact trial phase, therapy area, technology, and regulatory setting. This is true whether the role is a clinical project manager, a clinical operations leader, or a clinical development specialist.

In this area, pharma is not only competing with other pharma companies. Clinical data scientists, biostatisticians, bioinformatics specialists, and machine learning engineers all have options in technology, healthcare, research organizations, and dedicated AI firms. The rare candidate is someone who has both strong technical skills and real life sciences knowledge.

Skill intersection: Deloitte’s research found that 85% of surveyed organizations will be increasing their use of autonomous agentic systems. AI is moving out of small analytics projects and into clinical operations and regulatory affairs. As it enters regulated work, people who understand both the technology and the rules become harder to find.

These roles are scarce for a clear reason: the experience takes years to build, and the field is still young. Chemistry, manufacturing, and controls (known as CMC) for advanced therapies brings together several demanding skills at once. It combines biologics or cell and gene therapy, strict quality rules, process development, scale-up, and specialized facilities. Broad manufacturing experience is not the same as running a regulated advanced-therapy process at scale. The two are not interchangeable.

Clinical pharmacologists, translational scientists, biomarker specialists, and pharmacovigilance leads all appear on hard-to-fill lists. But the job title is not the real issue. A role gets harder to fill each time an employer adds another requirement: scientific field, plus therapy area, plus development phase, plus technology, plus regulatory knowledge, plus leadership. Each requirement makes sense on its own. Together, they can shrink a national pool to just a few names.

Having many candidates is not the same as having qualified candidates. A company can receive more applications than ever and still struggle to find someone with the exact experience a critical role needs. Four things cause this gap.

In my experience, while you are dealing with external factors and constraints on your talent pool, you do need to be very careful you’re not screening out people who could do the job through your own selection criteria.

Demand is concentrated in five areas, and each one is hard to hire for a specific reason.

Separating the capability from the reason it is scarce matters. A shortage caused by cross-industry competition needs a different hiring response from one caused by years of specialist experience.

Hard-to-fill pharma roles usually stay open for one reason: the search starts from a job description that no one has checked against the real market. The most useful work happens up front. You need to define what the role truly requires, then test that against the people who exist in the market.

This is the process I recommend:

Separate what someone must be able to do on day one from what they can reasonably learn in the first few months. The must-have skills define the real search. Everything else is a preference. And preferences are what turn a search of a few weeks into one of several months.

Before you fix a title, location, salary range, and experience level, map the market first.

Find out how many relevant people exist, where they are, who employs them now, and what they earn. Then identify which of your requirements make the pool much smaller.

Good pharma and life sciences recruitment does this first, because it is cheaper to adjust a job spec than to restart a failed search twice.

People do not always need the exact job title to have the skill you need. A biologics process engineer may move into a cell therapy role faster than you could find a rare exact match.

This is where skills-based hiring becomes practical. It lets you widen the pool without lowering your standards.

Not every specialist gap needs a permanent hire. A short-term submission workload, a single trial, or a scale-up milestone may be better served by contract talent, specialist sourcing, or recruiters on demand.

Full Recruitment Process Outsourcing (RPO) makes more sense for steady, high-volume hiring. But no single model fits every gap. Different shortages need different responses.

A pharma talent shortage is a signal about how your hiring is designed, and design is something you can change. Look again at the role, the market, and the assumptions behind both, and stuck searches start to move.

That shift is within reach for any team. Start small by picking one open role, questioning one requirement, and looking at one group of nearby candidates you would usually pass over.

The roles that feel impossible to fill are often where your next advantage is hiding. Find the people who can already do the work, and a stubborn vacancy becomes a head start.