Compensation Benchmarking for Pharma & Life Sciences Companies in Europe
The roles you're scaling with aren't in any salary survey you can buy off the shelf.
A generic compensation survey will tell you what a “clinical operations manager” earns in Europe. Not what one earns in Leiden versus Basel, or what to pay your first medical science liaison when you’ve never hired one. That gap shows up the week a candidate walks because your number was a guess.
Europe HR Solutions benchmarks the roles pharma companies actually scale with, hub by hub, and turns that data into pay bands you can defend internally and use to win candidates against bigger competitors.
Compensation Data Built for How Pharma Companies Actually Hire
Most compensation benchmarking is built for the roles every industry hires: finance, sales, general management. Pharma and life sciences companies scale on roles that barely register in those data sets: biostatisticians, regulatory affairs managers, qualified persons, clinical trial managers, medical science liaisons, market access leads. When the role is scarce, the data is thin, and thin data produces bands nobody trusts, including the person setting them.
We benchmark these roles specifically, using European life sciences hiring data rather than cross-industry averages, and we build the judgment layer most data providers leave out: how to weigh a thin data point against internal equity, how to position a band when three roles in your structure have never existed at your company before, and how to write the rationale that survives a CFO’s or a comp committee’s questions. You get a number you can act on, not a report you have to interpret alone.
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Years Of Experience
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The Real Cost of Getting Phama Comp Data Wrong
By the time a scaling pharma company looks for outside benchmarking, it has usually already tried the obvious source: an enterprise comp survey subscription, or a benchmarking module bundled into an HRIS. The subscription covers the roles every industry has. It thins out fast on the roles that make a pharma company a pharma company.
Your benchmark survey has three data points for the role you're hiring
Cross-industry surveys sample broadly and go shallow on specialist populations. A regulatory affairs manager, a biostatistician, or a QP might show up with a handful of incumbents across an entire country, sometimes across all of Europe. A three-point sample is not a market rate. It is a guess with a confidence interval attached, and the candidate comparing your offer against a competing biotech’s will not care that you cited a source.
National averages hide where the real competition for talent actually sits
Your regulatory lead in Copenhagen is not competing against a national Danish average. She is competing against every other biotech within commuting distance of the same cluster, several of whom are hiring for the identical role this quarter. A country-level number smooths away exactly the local premium that determines whether your offer lands or loses.
Your clinical-to-commercial transition creates roles you have no internal precedent for
The move from clinical-stage to commercial-stage pharma means hiring for functions you have never had: your first medical science liaison, your first market access lead, your first commercial operations manager for Europe. There is no internal comparator, no prior offer to anchor against, and often no clear sense of which market data even applies to a role your company is creating for the first time.
Weak data costs you the candidate, not just the negotiation
Scientific and regulatory candidates in Europe’s life sciences hubs talk to each other and to recruiters who know exactly what the market pays. An offer built on a thin or generic data source reads as thin, and strong candidates use it as leverage or walk. You do not find out the data was wrong until after you have lost the person you needed most.
A band you cannot defend is a band the CFO or the board will challenge
Scaling companies answer to investors and boards who ask direct questions about comp spend: why this number, against what data, compared to whom. A pay band with no defensible sourcing behind it does not survive that conversation, and every subsequent hiring decision inherits the same credibility problem.
Specialist Role Market Data & Benchmarking
Role-specific benchmarking for the populations generic surveys cover thinly: R&D, clinical operations, regulatory affairs, medical affairs, biostatistics, quality, and QP roles, sourced from European life sciences hiring data rather than cross-industry panels. We benchmark at the level that actually matters for these roles: the hub, not just the country.
Pay Band Design for Ungraded Scientific Roles
Most scientific and clinical roles have no collective agreement grid to sit inside, which means the band has to be built from first principles: internal equity, market position, and career-path logic that holds up as the role population grows. We design bands that work as your headcount in that function goes from one hire to a full team.
Clinical-to-Commercial Compensation Planning
When you’re creating a function for the first time, medical affairs, market access, commercial operations, we benchmark the closest available market comparators, flag where data is genuinely thin, and build a band with an explicit rationale for how we got there, so the first hire into a new function isn’t priced on a guess.
Board and Investor-Ready Compensation Documentation
Every band comes with the sourcing behind it: what data was used, how thin populations were handled, and how the number compares to internal equity. Built to answer the questions a CFO or a compensation committee actually asks, not just to justify a number after the fact.
Ongoing Market Data Refresh & Band Governance
Specialist life sciences talent markets move fast, particularly in the hubs where several well-funded companies compete for the same small pool. We refresh the underlying data and revisit bands on a cadence tied to your hiring plan, so the framework stays current as you keep scaling instead of aging out within a year.
Our Services / What We Deliver
Compensation Benchmarking & Pay Band Services for Pharma Companies in Europe
Trusted by Pharma Companies Benchmarking Their European Teams
Long-term partnerships built on trust, speed, and deep knowledge of European life sciences compensation.
Lionel Paraire
Associate Director
Working with EHRS has helped the wider HR team in managing workloads, and our partners are starting to see the benefit of this relationship.
Paula Stillman
Head of HR
These experts are incredibly knowledgeable and professional. I can contact them and feel confident in knowing that I will receive accurate guidance.
Jess Clark
Employee Relations Specialist
Frequently Asked Questions on Compensation Benchmarking for Pharma Companies
1. How is this different from an enterprise compensation survey subscription we could buy ourselves?
A survey subscription gives you data. It does not tell you when a data point is too thin to trust, how to weigh a three-incumbent sample against your internal equity picture, or how to write a rationale that survives board scrutiny. We benchmark the specific roles pharma companies scale with using life sciences hiring data, and then do the interpretation work: flagging thin populations honestly, positioning against hub-level competition, and building a band you can act on rather than a table you have to decode.
2. Which pharma and life sciences roles does your benchmarking actually cover?
R&D, clinical operations, regulatory affairs, medical affairs, biostatistics, quality, QP, and commercial roles, including medical science liaisons and market access. These populations scale fastest as a pharma company grows and are the ones generic cross-industry surveys sample most thinly. If a role sits outside this list, we tell you upfront rather than stretching a weak comparator to fit.
3. We're moving from clinical-stage to commercial-stage. How do you benchmark roles we've never hired for before?
We build from the closest available comparators, market access, medical affairs, or commercial operations hires at similarly staged companies, and we’re explicit about where the data is thin because the role itself is new to the market, not just new to you. The goal isn’t to manufacture false precision. It’s to give you a defensible starting band and a clear rationale for how we got there, so your first hire into a new function isn’t priced on a guess.
4. How do you turn benchmark data into a pay band we can defend to the board or a comp committee?
We document the sourcing behind every band: which markets and hubs were used, how thin or strong the underlying data was, and how the number sits against your internal equity. When a board or comp committee asks “why this number,” the answer is already written down, not reconstructed after the question is asked.
5. How often is the market data refreshed as we keep hiring?
Specialist life sciences talent markets in hubs like Leiden, Basel, or Copenhagen can move within a hiring cycle when a well-funded competitor starts recruiting for the same roles. We set a refresh cadence tied to your hiring plan rather than a fixed annual cycle, so bands for high-velocity roles don’t go stale while you’re still hiring against them.
6. Does this benchmarking work also help with EU Pay Transparency Directive compliance?
Credible, well-documented pay bands are a precondition for pay transparency compliance, since you cannot publish or defend a salary range you cannot substantiate. This page covers the benchmarking and band-design work itself. If EU Pay Transparency Directive reporting and gap remediation for your pharma organization is the primary need, that is a distinct engagement with its own scope.
Get pay bands you can defend. Start with a conversation about your data.
Not sure where to start? Talk to a compensation specialist.
Whether you’re negotiating an offer against a competing biotech, building a band for a role your company has never had before, or preparing to defend your comp spend to the board, a short conversation will tell you exactly what data actually exists for the roles you’re hiring and where the real gaps are.
Is your pay band actually backed by market data, or a guess?
Download our free Pharma Pay Band Self-Check and see where your bands for scarce scientific, clinical, and regulatory roles hold up, and where they’re resting on a national average or an old offer.
Is Your Pharma Pay Band Defensible?
Self-check for R&D, clinical, regulatory, and medical affairs pay bands
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