Why ClinexaOS
Global Impact
Your work directly affects diagnostic quality for patients across 12 countries and growing.
Deep Technical Problems
We work at the frontier of medical imaging AI, uncertainty quantification, and clinical NLP.
Clinical Immersion
Regular exposure to clinical environments. Many of our engineers spend time in hospital radiology departments.
Meaningful Equity
Competitive equity packages. We want team members to share in what we're building.
Flexible Work
Hybrid-first culture. We care about output, not where you sit.
Learning Budget
Annual learning and conference budget for every team member.
Open Positions
Senior ML Engineer — Medical Imaging
Remote / McLean, VA · Work on the core inference pipeline for radiology AI. Strong background in computer vision and PyTorch required.
Backend Engineer — Clinical Data Platform
McLean, VA / Hybrid · Build the data infrastructure that powers real-time AI inference at scale in clinical environments.
Clinical AI Validator — Radiology
Remote · Board-certified radiologist to review and validate AI outputs, design annotation protocols, and contribute to research publications.
Research Scientist — Uncertainty Quantification
Remote · Develop calibration and uncertainty methods for medical AI. PhD in ML, statistics, or related field preferred.
Product Manager — Clinical Workflows
McLean, VA / Hybrid · Define the product roadmap for our clinical workflow integration layer. Healthcare PM experience essential.
Enterprise Account Executive — MENA
Remote · Own the sales cycle for enterprise healthcare accounts across the Middle East and North Africa region.
Don't see your role?
We're always interested in exceptional people. If you're working at the intersection of medicine and AI and don't see a role that fits, send us a note at info@clinexaos.com with what you're looking for.
Team by Numbers
120+ team members across 18 countries.
60% of staff have clinical or life sciences backgrounds.
22 PhDs on the research and engineering teams.
Headquartered in McLean, VA. Remote-first hiring globally.
Hiring Process
Initial conversation with a team lead (30 min).
Technical or domain assessment relevant to the role.
Panel interview with cross-functional team members.
Offer within 5 business days of final interview.