--- title: 'Lead Data Scientist at Onos Health' canonical: 'https://feeny.ai/job/lead-data-scientist-onos-health-san-francisco-yyt0hr2bx33g' type: 'job' last_seen: '2026-09-07' --- # Lead Data Scientist at Onos Health - **Company:** Onos Health - **Location:** San Francisco, CA - **Compensation:** $200k–$225k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-12 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/onoshealth/725910e1-eeac-4306-a270-857db0fd6eea ## Job description ## ABOUT ONOS HEALTH Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers. Onos is addressing this by building the largest AI-driven healthcare data platform. Our model enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable. Come join a category-defining company and transform how healthcare is managed in the U.S. WHY ONOS? - Meaningful impact: Help solve one of healthcare’s biggest challenges by improving quality while reducing waste. - Ownership: Take on significant responsibility from day one and shape a rapidly growing company. - Direct collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development. - High-performing team: Join a transparent, collaborative, and execution-focused culture. - Build something new: Help define the next generation of AI-powered healthcare analytics. ## THE ROLE We’re looking for a Lead Data Scientist to own the analytical strategy behind the Onos platform and help our customers unlock the full value of their data. This role sits at the intersection of data science, product, and customer success. You’ll partner directly with health plans to understand their data, systems, workflows, and business challenges while working internally with Product, Engineering, and Clinical teams to shape the analytics, dashboards, and product capabilities that power the Onos platform. Success in this role isn’t measured by how many machine learning models you build—it’s measured by your ability to turn complex healthcare data into products, insights, and measurable outcomes that customers trust. You’ll serve as one of Onos’ analytical leaders, helping customers answer difficult questions, developing rigorous methodologies to measure ROI and clinical impact, identifying new product opportunities, and ensuring our platform continues to evolve around real customer needs. ## WHAT YOU’LL BE DOING Partner with Customers - Work directly with payer analytics, clinical, operational, and executive teams to understand their data, systems, and business objectives. - Help customers understand and validate the insights generated by the Onos platform. - Design and execute analyses that quantify ROI, clinical outcomes, operational improvements, and program impact. - Present methodologies, findings, and recommendations to both technical and executive audiences. - Serve as a trusted analytical partner during implementations, pilots, and ongoing customer engagements. Shape Product & Data Strategy - Partner with Product and Engineering to determine how new data sources—including claims, clinical documentation, authorizations, and operational data—should be integrated into the platform. - Help define the dashboards, reporting, metrics, and analytics that customers use every day. - Translate customer questions and analytical needs into scalable product capabilities. - Identify opportunities to leverage customer data to create new products, insights, and decision-support tools. Drive Analytics & Insight Generation - Explore complex healthcare datasets to identify utilization patterns, quality opportunities, provider variation, and operational inefficiencies. - Design rigorous analytical methodologies for measuring clinical appropriateness, quality, program integrity, and financial impact. - Build statistical models and analytical frameworks that support product development and customer decision-making. - Apply machine learning where it meaningfully improves customer outcomes and platform capabilities. Collaborate Across the Company - Work closely with Product, Engineering, Clinical Operations, and Customer Success to solve complex customer problems. - Help prioritize analytical initiatives and influence product direction. - Serve as the company’s subject matter expert on healthcare data, analytics, and measurement. ## WHAT WE’RE LOOKING FOR - 8+ years of experience in healthcare analytics, data science, biostatistics, or a related quantitative field. - Deep experience working with healthcare claims, clinical, authorization, eligibility, or operational healthcare data. - Strong SQL and Python skills for exploratory analysis, statistical modeling, and data validation. - Strong foundation in statistics, experimental design, causal inference, predictive modeling, and analytical methodology. - Experience designing analyses that measure clinical, operational, or financial outcomes. - Ability to translate complex analytical concepts into clear, actionable business insights. - Excellent communication and presentation skills, with the ability to engage both technical teams and executive stakeholders. - Experience working directly with customers or external stakeholders is strongly preferred. - Product-minded, with an interest in turning analytical insights into scalable software capabilities. - Comfortable working in ambiguity and excited to help build processes, products, and best practices from the ground up. - Healthcare payer, provider, or health technology experience strongly preferred. - Exceptional references from colleagues and former managers. ## WHY THIS ROLE IS UNIQUE At Onos, data science isn’t an isolated research function. You’ll help customers answer their hardest analytical questions, influence the direction of our product, define how healthcare data is transformed into actionable intelligence, and play a central role in building one of the most ambitious AI platforms in healthcare. If you enjoy solving messy problems, working directly with customers, and seeing your work shape both products and real-world healthcare decisions, we’d love to talk. ## BENEFITS & PERKS - Flexible hybrid arrangement (~3 days/week in our San Francisco office) - 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 both the product and company - Regular team events and off-sites - Company-provided equipment and home office setup We are an equal opportunity employer and value diversity at Onos. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic. ## About Onos Health ## Company Overview - **One-liner**: Onos Health provides an AI-powered platform that helps health plans reduce waste and improve quality in behavioral health programs. - **Entity Type**: Private (Seed stage; raised $6.3M in June 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available - **Founders**: Akshay Agrawal (CEO) and Suhaas Prasad (CTO) ## Core Business - **Primary industry**: Healthcare IT – specifically behavioral health technology for payers - **Target customers**: Health plans (payers) that manage behavioral health benefits, including government-sponsored programs - **Mission statement**: “Fix what’s broken in behavioral health” – the company aims to streamline operations, reduce loss, and ensure higher-quality care. ## Products & Services - **Onos Platform (AI-Powered Behavioral Health Management)**: A SaaS platform that combines machine learning, large language models, and generative AI to: - Alert health plans when members deviate from appropriate care paths and recommend corrective actions. - Detect fraud, waste, and abuse early. - Provide a 360-degree view of each member’s condition and care. - Unify clinical review, utilization management, and provider quality assessment in a single, collaborative web application. - Support full spectrum of behavioral health diagnoses and all care settings (outpatient, intensive outpatient, inpatient, crisis stabilization, school-based, etc.). - **Integration Options**: Supports flatfile/CSV, API connections to claims/RCM/EMR systems, or direct data warehouse/lake integration. - **Configuration**: Can be tailored to a health plan’s data, service lines, and clinical guidelines. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding raised – $6.3M (Seed round, June 2025) - **Notable Investors/Partners**: Seed round led by **Haystack** and **Pathlight Ventures**; 4 investors total. - **Growth Signals**: - 17 employees as of mid-2025, with active hiring for 6+ open roles (Staff Engineers, AI/ML, Product, Marketing). - Job postings increased 50% month-over-month. - LinkedIn follower count: 885. - Company featured in Axios coverage of the fundraise (October 2025). ## Competitive Advantages - **Behavioral-health-specific AI models**: Proprietary models trained exclusively on millions of claims, clinical notes, plan policies, and member data points – not general-purpose AI. - **HIPAA compliance**: Built by security professionals with payer experience; uses locally hosted AI/ML models to protect PHI. - **Reinforcement Learning with Human Feedback (RLHF)**: The platform continuously improves by incorporating team decisions back into the model. - **End-to-end unification**: Brings together scattered clinical data and cross-functional teams (clinical review, utilization management, provider collaboration) in one platform. ## Strategic Focus - **Reduce waste in behavioral health**: Onos targets the estimated 30% of every behavioral health dollar that goes to waste, aiming to cut that significantly. - **Improve clinical oversight and provider quality**: Real-time alerts and recommendations keep members on effective care paths. - **Expand data integration and configurability**: The platform works with existing payer systems and can be customized for each client’s policies and preferences. ## Why Work Here - **Mission-driven**: Employees focus on transforming a broken part of healthcare with measurable impact. - **Small, collaborative team**: Currently 17 people, offering high ownership and direct influence. - **Hybrid work policy**: Open positions list San Francisco as location, with hybrid expectation. - **Engineering culture**: Teams use modern tech stack (Python, Django, React, TypeScript, PostgreSQL, ClickHouse, PyTorch, Docker, Terraform, GitHub Actions, MLOps) and are building cutting-edge AI for healthcare. - **Open roles**: Staff Software Engineer (Full Stack & AI/ML), Lead Engineer (Backend & Data/Integrations), Forward-Deployed Product Manager, Senior Software Engineer, Head of Marketing. ## Sources 1. [onoshealth.com](https://onoshealth.com/) 2. [onoshealth.com/about-us](https://onoshealth.com/about-us/) 3. [onoshealth.com/career](https://onoshealth.com/career/) 4. [linkedin.com/company/onos-health](https://www.linkedin.com/company/onos-health) 5. [builtin.com/company/onos-health](https://builtin.com/company/onos-health) ## Other roles at Onos Health - [Lead Infrastructure Engineer](https://feeny.ai/job/lead-infrastructure-engineer-onos-health-san-francisco-jxg5ygp4htr6) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-onos-health-san-francisco-v15rnqx6yc6n) — San Francisco, CA - [Clinical Quality Reviewer - BCBA](https://feeny.ai/job/clinical-quality-reviewer-bcba-onos-health-san-francisco-8g7ae96f4cb1) — San Francisco, CA - [Lead Engineer (Data/Integrations)](https://feeny.ai/job/lead-engineer-data-integrations-onos-health-san-francisco-rs347xgb61ys) — San Francisco, CA - [Lead Software Engineer](https://feeny.ai/job/lead-software-engineer-onos-health-san-francisco-bwzgf99q6xqf) — San Francisco, CA - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-rossum-prague-p0khcgp6zqcs) — Prague, Czech Republic - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-faculty-london-3w05crhh4hvh) — London, United Kingdom - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-netspend-austin-21vct1zspfsm) — Austin, TX - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-gymshark-solihull-england-j9mkrhcem96g) — Solihull England, United Kingdom - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-bondora-finland-latvia-spain-tallinn-estonia-emj8m763hhqn) — Finland / Latvia / Spain / Tallinn, Estonia