01
Dual-fluency talent
Your hardest hires must be fluent in two languages at once: modern AI systems and the regulated domain they're deployed into. That intersection is thin, and generalist recruiters can't score it. We can.
Industries / AI-Native
Building AI wheremistakesare regulated.
Embedded recruiting for AI-native companies in regulated and clinical-adjacent markets: clinical workflow AI, RCM automation, health AI agents, and AI for life-sciences operations. The talent you need is fluent in both the model and the market. So are we.
Why we're built for this
The intersectionis the bottleneck.
Plenty of engineers can ship an agent. Far fewer can ship one into a clinical workflow, a payer integration, or a GxP environment and explain the audit trail. Our decade in healthcare hiring is exactly the screen these roles need.
02
Blind-scored, every time
HumanOS evaluates every candidate against weighted rubrics calibrated to the role: blind-scored, ranked, and delivered as a report. In markets where a mis-hire becomes a compliance problem, the rigor isn't optional.
03
Embedded in your company
One subscription, no placement fees. We run the whole cycle inside your company, on the same playbook that delivers hires in weeks, not quarters, for our healthcare clients.
Where we work
Four markets,one hiring problem.
A
Clinical Workflow AI
Companies automating documentation, ordering, and care coordination inside the clinical day.
- ML and applied-AI engineering leadership
- Clinical informaticists
- Product leaders with EHR-integration scars
- Implementation and deployment leadership
B
RCM Automation
AI applied to the revenue cycle: coding, claims, denials, and payer operations.
- Engineering leaders fluent in payer data
- Product managers from RCM or clearinghouse backgrounds
- Heads of Payer Strategy
- Compliance-literate operators
C
Health AI Agents
Agentic systems acting inside care delivery, navigation, and patient engagement.
- Applied research and LLM-ops leadership
- Safety and evaluation engineering
- Clinical oversight roles (MD/NP advisors)
- Trust, policy, and quality leaders
D
AI for Life-Sciences Ops
AI across trials, pharmacovigilance, regulatory affairs, and lab operations.
- Computational biology and data-science leadership
- GxP-fluent engineering leaders
- Clinical operations and trial-tech leadership
- Regulatory affairs and quality leaders
Where we plug in
Fit andengagement model.
- Profile
- AI-native, in regulated or clinical-adjacent markets
- Stage
- Seed through growth
- Engagement
- Subscription slots, week-to-week. No placement fees.
The conversation beginsupstream of the role.
The first calls that matter are strategic. They surface what the business needs to accomplish over the next four quarters and where the talent question actually sits. Fifteen minutes is enough to start. We come prepared.