picked.
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Healthcare technology
/industries/healthcare-technology
Hire the clinician.
Keep the trial moving.
Healthcare hiring is two problems in one. The clinical side has hard qualification filters, real liability, and regulatory scrutiny. The product side needs people who understand patient workflows, not just SaaS. Picked hard-filters on qualifications, screens for workflow context, and runs the rubric against clinical-aware traits. Data is EU-resident. We hold no PHI.
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hard qualification filters·no PHI in our system·EU data residency
What you said, last quarter
Three things healthcare technology leaders told us.
Mon 07:30
"Half the CVs for our nurse coordinator role were not licensed in the right state. The CV scanner did not catch it. I spent three days filtering by hand."
· Head of clinical operations · Telemedicine, 80 people
Wed 14:20
"We hired a product manager from a horizontal SaaS. He could not parse the trial protocol. Three months of onboarding, then we replaced him."
· VP product · Digital health, 60 people
Thu 22:00
"Procurement asked where the candidate data lives. We said 'we cannot tell you yet'. The deal stalled for four months. Patient data is the third rail at this company."
· Head of people · Biotech, 140 people
How Picked addresses each
Three answers. One pipeline.
Hard filters on qualifications, before the model spends time.
License, registration, board certification, state, country, specialty: configured per role, applied at triage. Candidates who do not match the qualification filter never reach the screen. The audit shows exactly who was filtered and why.
↓ Triage
Healthcare-aware rubric traits.
The rubric calibrates for clinical context: patient-impact reasoning, regulatory awareness, multi-stakeholder navigation. For product roles, healthcare-specific traits sit alongside the general PM rubric, weighted by your call.
↓ Decision engine
No PHI in our system. EU data residency.
We do not hold any patient data. Candidate data lives in the EU (London region by default). The sub-processor list is public. We carry a DPA, a model card per production model, and an annual bias audit summary. SOC 2 in progress.
↓ Trust hub
What Friday looks like
Three clinicians,
filtered and vetted.
62
applicants, 31 hard-filtered out at triage
31
vetted, 3 finalists
0
PHI stored, by design
2
weeks total, post to hire
From the beta
"I used to spend three days a week filtering nurse CVs by hand. The license-check step is a hard filter at triage now. I see thirty candidates a week, all of them legitimately licensed, and Picked picks the top three. I get my Wednesdays back."
HO
Head of clinical operations
Telemedicine, 80 people
Quotes paraphrased from beta sessions, May 2026. Named, consented quotes ship with V1.
For healthcare tech, the alternative is:
Specialist healthcare recruiter
25% to 30% of first-year salary
Expensive. Slow. Quality varies per agency.
Generic ATS (Greenhouse, Ashby)
$8k to $20k per year, annual contract
Not built for clinical workflows. Qualification filters are manual.
In-house clinical hiring team
$75k+ loaded cost per recruiter
Plus benefits, plus the recruiter not understanding the clinical bar.
Picked.ai
$0.99 per AI-vetted candidate
Hard filters on qualifications. No PHI stored. EU-resident. First 50 free.
Clinical hires. Without the friction.
Three clinicians.
Friday.
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picked.
The AI-native replacement for inbound hiring. For the hiring manager, not HR.
© 2026 Picked · Made in London · Three finalists in forty-eight hours.
Hire clinical and product talent without slowing the trial · Picked.ai