Why Open Label exists

Consider what a software engineer has, for free, before negotiating a job offer: salary databases with thousands of datapoints cut by level and company, anonymous communities where verified colleagues discuss employers by name, and a trade press that covers their industry's layoffs and shakeups as news for workers.

Now consider what a clinical research professional has: averages on generic salary sites too coarse to negotiate with, a scattering of forum threads, and an industry press written for executives and investors. The compensation surveys with real data are sold to employers, not to you.

This is strange, because clinical research is precisely the kind of industry where worker-side information should thrive:

• It is large. The global workforce runs into the hundreds of thousands; the largest CRO alone employs on the order of 88,000 people.
• It churns. CRA turnover has run between roughly 22 and 30 percent in recent years. High churn means constant negotiation, and constant negotiation with an information asymmetry favors the employer every time.
• It is distributed and remote. The watercooler where salary truths used to leak does not exist when the team is spread across forty cities.
• It already whispers. Everyone in this industry knows things they only say privately: which sponsors are chaos, which CROs pay sites late, what the real travel load is. The knowledge exists. It just has no infrastructure.

Open Label is that infrastructure, built in three layers, in order.

First, a trade daily for the worker side. Contract wins and losses, reorgs, and layoffs, including the ones visible in public WARN filings before they are announced internally, translated into what they mean for jobs rather than share prices.

Second, salary data that can actually be negotiated with. An anonymous survey cut by role, seniority, employer type, travel, and region, published openly under strict anonymity thresholds. Not sold to HR departments. Published.

Third, when the survey crosses 500 responses, the community. Verified professionals, pseudonyms, industry-wide badges, and the conversations this industry has always had in private, given a room of their own.

No ads, no trackers, no employer sponsorships. Independence is not a feature of this project; it is the project.

The name is from your own vocabulary. An open-label study is one where nobody is blinded. Everyone sees the truth. It seemed like a reasonable standard for an industry to hold itself to.

Start where it starts: add your anonymous datapoint to the survey. The industry gets unblinded one response at a time.