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AI HealthTech

Healthcare AI isn't like other sectors – it demands engineers who understand both cutting-edge ML and the clinical stakes. The best healthtech talent has built diagnostic models, navigated FDA pathways, worked inside hospital systems and managed the regulatory complexity that comes with patient data. We source from this world.

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Hiring for healthtech AI requires more than strong engineers: it requires people who've earned their stripes in a regulated, high-consequence environment. We work with teams embedded in this space – exceptional AI talent who have validated models against clinical gold standards, navigated HIPAA and FDA requirements and built tools that integrate seamlessly into provider workflows.

 

They understand the difference between academic accuracy and clinical utility, between a promising prototype and a deployable solution. Our network of candidates have been published in JAMA or The Lancet, led real-world evidence studies and successfully taken models from research to revenue.

Current capabilities

We have global talent capable of filling the following roles:

  • Senior ML Engineer – Clinical AI / Diagnostics

  • Medical Imaging AI / Computer Vision Scientist

  • Biostatistician / Clinical ML Researcher

  • Healthcare Data Engineer / Data Infrastructure Lead

  • Natural Language Processing Engineer 

  • Drug Discovery / Molecular AI Scientist

  • Wearable / Time-Series Data Scientist (Remote Monitoring) 

  • Healthtech Product Manager – AI

  • Regulatory & Clinical Affairs Specialist (AI/ML)

  • Healthcare ML Ops / Production Engineer

© 2026 Reaney AI – the AI talent experts

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