Job Description

About Onos Health Onos Health’s mission is ambitious - ensure every healthcare dollar is spent on delivering the highest quality care. With up to 50 cents of every healthcare dollar wasted, Onos’ AI-powered platform is positioned to drive meaningful change in the industry. Onos empowers health plans to ensure their members receive the highest quality care while reducing billions in wasteful and abusive spending. By identifying providers who deviate from an evidence-based care standard, we enable health plans to take action before their members' health outcomes are impacted. As one of our early data team hires reporting directly to the CTO, you'll have the opportunity to extract meaningful insights from healthcare data that drive our platform's effectiveness. You'll apply sophisticated statistical methods to analyze patterns and trends while working alongside a team with decades of behavioral health experience. Why Onos? Meaningful impact: Help improve the quality of care while reducing healthcare costs Direct collaboration with experienced founders who have deep healthcare expertise Collaborative, transparent & results-oriented culture Significant ownership of technical decisions and architecture from day one Opportunity to help build and shape the data science function The Role We're seeking an experienced Senior Data Scientist who is passionate about improving the way healthcare is administered in the United States. You'll take ownership of analyzing complex healthcare datasets to uncover actionable insights that power the Onos platform. As an early team member, you'll work closely with our ML engineering team while maintaining statistical excellence in all our analytical approaches. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person at least once a week. What you'll be doing at Onos: Build & Optimize AI Pipelines: Work with large-scale EHR datasets on information retrieval and reasoning problems. Finetune language models, train other transformer-based models, design RAG pipelines and leverage traditional NLP methods where appropriate Detect Fraud, Waste and Abuse: Develop sophisticated statistical models to identify patterns of fraud, waste, and abuse in healthcare claims and provider behaviors Identify Deviations from Standards of Care: Create algorithms and metrics to detect when providers deviate from evidence-based care standards in behavioral and mental health Apply advanced statistical methods to analyze healthcare data patterns and generate actionable insights Collaborate with ML engineers to develop features and metrics that improve model performance Establish statistical rigor in our analysis methods and ensure data quality standards What we're looking for: Master's or PhD in Statistics, Mathematics, Computer Science, or related field 5+ years experience applying advanced statistical methods to complex real-world problems Proven track record of delivering impactful data science solutions in production environments Strong proficiency with Python and related data analysis libraries and AWS data tools Excellent communication skills, with ability to explain complex statistical concepts to non-technical stakeholders Self-directed worker comfortable with ambiguity and rapid iteration Driven to take ownership of projects and deliver impactful outcomes Bonus points if you have: Significant experience working with healthcare data and with HIPAA best practices Worked with machine learning and large language models for end-user applications Background in building production-grade data pipelines that feed statistical models Benefits and Perks Flexible hybrid arrangement: 1-2 days/week at San Francisco office (Financial District), remote-first culture Unlimited vacation policy Paid parental leave Medical, dental, and vision insurance Pre-tax commuter benefits 401(k) Significant equity as an early employee Direct mentorship from experienced founders Ground-floor opportunity to help build a team and culture Regular team events and offsites Company-provided equipment and home office setup We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr Onos Health

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