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Price a Principal Scientist against Radford's life sciences data instead of a generic director composite. Structure equity-heavy offers correctly at the pre-commercial stage. Keep every compensation decision documented well enough to survive due diligence, a funding round, or a compliance review.
Most life sciences HR and comp teams run into some version of the same problems, because most compensation software wasn't built with a scientific workforce in mind.
Roles like computational biology don't have a clean market match, so the salary gets picked without much to check it against.
Pre-commercial and commercial-stage teams end up benchmarked with the same survey blend, even though they're competing for very different talent.
Pay decisions rarely have a written rationale behind them, even though almost everything else at the company gets documented.
The company takes NIH or BARDA funding, but nobody has actually looked into what that means for OFCCP compliance.
Clinical operations staff are a mix of hourly and salaried employees, and they often end up graded the same way regardless.
Here's roughly how it works, and how it addresses each of the problems above.
R&D and clinical roles get priced against Radford Life Sciences data instead of a general market composite.
JESAP evaluation scores are used to match a role to the survey position that actually reflects the work.
Pre-commercial and commercial companies are set up with different survey blends, since they're competing in different markets.
Every decision gets an audit trail, so you can explain how a number was reached months or years later.
Compensation, equity, and demographic data across your organization is sensitive, and CompBldr treats it that way.
Provisioned through your existing identity provider, so access follows your offboarding process, not a separate one.
Every view, edit, and approval is timestamped and retained, so you can reconstruct exactly how a decision was made.
Access is scoped by role down to individual comp records, so a hiring manager never sees a scientist's full compensation history by accident.
Data is encrypted in transit and at rest, using the same standard your clinical data systems are already held to.
Each of these can play a role in life sciences compensation work. Here's how they compare for a biotech that needs ongoing governance, not just data or a one-time study.
Excel, Radford data, Pave, and life sciences consulting firms all have a place in this work, and many biotechs use them well. The distinction is continuity: CompBldr runs on Radford data as its foundation and keeps governing compensation after the initial benchmarking is done, through every stage change that follows.
From Series A through public company, CompBldr's compensation management software adjusts to where your organization actually stands.
A closer look at each part, and how they work together day to day.
Your Head of People, your comp lead, and your CFO care about life sciences pay for different reasons. CompBldr gives all three the same information to work from.
Scientific career families that actually reflect how your researchers progress, documented and defensible.
The heavy lifting is automated, so you spend your time on strategy, not manual survey matching every cycle.
Clear visibility into cash and equity spend, with documentation ready for the next round or the next audit.
If this sounds like your company, you're not behind. This is fairly common across the sector, and it's part of why compensation management software built for life sciences exists in the first place.
Underwater equity, shifting option-to-RSU mixes, and bonus funding that moves year to year are already a normal part of life sciences pay. A platform that can't handle that kind of change just adds more manual work on top of it.
Four capabilities that carry the rest of this page.
The life sciences premium gets calculated properly instead of getting averaged away by a generic survey.
See How It Works →JESAP looks at what the work actually involves rather than forcing it into a senior-principal-director ladder.
Learn About JESAP →Executive compensation, equity-heavy pay at earlier stages, and formal bonus structures later on, all on the same platform.
Explore Planning →An audit trail that holds up to the kind of scrutiny your science already gets.
Explore Reporting →Most life sciences companies are up and running their first pay cycle in CompBldr within 6 to 10 weeks.
Your current roles, salaries, and org structure, scientific and corporate, get imported to start.
R&D, clinical, and corporate job families get set up with the right survey sources for each.
Stage-appropriate benchmarking, FLSA-linked grades, and compliance reporting get set up, with support along the way.
Your first real pay cycle runs with Radford-based bands and OFCCP-ready data by the end of it.
Radford Life Sciences data, published by Aon, is what CompBldr uses as the primary benchmark for R&D and clinical roles. Because it's built specifically for pharma, biotech, and medical device companies, it reflects the specialized market premium that a general compensation survey misses. The full matching methodology is covered above under Radford Survey Matching.

For emerging roles like computational biology or AI-driven drug discovery, CompBldr blends two or three adjacent survey positions that partially describe the role, weighted and documented with the rationale for each weight. Alternatively, the closest scientific discipline gets a scope-based adjustment from the JESAP evaluation score, giving you a defensible anchor even without an exact match.

Pre-commercial companies typically lean on equity more heavily to offset below-market base pay, and benchmark against other venture-backed biotechs. Commercial-stage companies shift toward more competitive base salaries and formal bonus structures, and their competitive labor market widens to include non-life-sciences employers for commercial roles. CompBldr lets your survey configuration evolve as your company's stage changes.

The federal funding threshold, 50 or more employees plus $50,000 or more from NIH, BARDA, or DoD, is covered above under OFCCP & Federal Funding Compliance. What that means in practice: your annual Affirmative Action Program has to show that any pay differences between demographic groups in similar roles trace back to legitimate factors, not discrimination.

Yes. For pre-IPO companies, CompBldr builds the documentation foundation that IPO-stage HR due diligence looks for. For public companies, it supports SEC pay ratio disclosure work and proxy compensation data organization alongside OFCCP compliance. The same platform scales from pre-commercial biotech to public specialty pharma without a platform change.

Join the life sciences companies that finally have Radford-based, well-documented pay decisions.
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