Onos Health
San Francisco, CA
AI platform for health plans to optimize behavioral health
About
Onos Health builds an AI platform for behavioral health that processes claims, clinical notes, and member data to monitor care quality, recommend optimal paths, and automate reviews. It serves health plans and payers to reduce waste—30% of behavioral health spending—eliminate fraud, cut admin tasks, and improve outcomes. The platform streamlines workflows across utilization management, prior authorizations, and clinical decisions.
Tech stack
Python, Django, AWS, Postgres, Docker, Next.js, TypeScript, Terraform, S3
Perks & benefits
Health insurance, Dental insurance, Vision insurance, 401k, Parental leave, Unlimited PTO, Commuter benefits
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5Onos Health
San Francisco, CA
Leads infrastructure and platform strategy for a production healthcare AI platform, owning AWS, reliability, disaster recovery, compliance, CI/CD, and secure AI-agent operations. Requires deep cloud and Terraform expertise, audit-cycle experience, and prior technical leadership.
Onos Health
San Francisco, CA
Forward Deployed Engineer serving as the primary technical lead interfacing directly with health plan customers. Own end-to-end feature development, integrations, and roadmap for an AI-driven healthcare data platform while translating customer workflows into production software.
Onos Health
San Francisco, CA
Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.
Onos Health
San Francisco, CA
Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.
Onos Health
San Francisco, CA
Leads backend development of AI-driven healthcare platform, architecting ML workflows for claims processing and care optimization. Owns end-to-end features, establishes best practices, and guides technical strategy with 5+ years experience and team leadership.