Onos Health

Architect and develop AI/ML-driven workflows and lead platform feature development with engineering best practices. | 5+ years experience with leadership in engineering teams, strong system design, and hands-on production coding ability. | 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 models 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 better outcomes while making healthcare more affordable. Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better. Why Onos? Meaningful impact: Help fix what is fundamentally broken in healthcare Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise Culture: Join a high-performing, transparent, and results-oriented team Ownership: Significant responsibility and autonomy from day one Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company The Role We're seeking an experienced Senior Backend Engineer who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership in helping develop a significant part of the Onos platform through hands-on development. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week. What you'll be doing at Onos: Architect workflows that utilize AI/ML to process claims, medical records and other data types to evaluate the optimal care path for health plan members Lead the integration and rollout of the Onos platform for new enterprise customers to provide actionable insights and recommendations to health plan administrators Own end-to-end development of new features and functionality for the Onos platform, including requirements gathering, scoping, architecting, implementation and testing to deliver timely and high quality outcomes Establish engineering best practices and technical foundations for future team growth Shape our technical roadmap, make key architectural decisions, and influence the company's product and technical strategy Technical Challenges At Onos: Develop an intelligent engine that ingests complex medical standards of care documents and evaluates provider adherence to guidelines Design and implement robust and extensible systems to easily support many different kinds of enterprise workflows and integrations Build AI/ML pipelines to analyze handwritten clinical notes, accurately extract important medical information, and automate recommendations for clinical reviewers Scale our systems to process millions of healthcare records while maintaining strict security and compliance requirements Tech Stack: At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale. Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform Languages/Frameworks Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk What we're looking for: 5+ years experience building software applications Prior experience leading engineering teams as a tech lead or engineering manager Strong product sense and system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex systems Customer obsessed and motivated to make an impact in the healthcare space A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code Bonus points if you have: Worked with machine learning and large language models for end-user applications Hands-on experience navigating healthcare data formats such as EDI X12, HL7, FHIR, and custom payer flat files Benefits and Perks Flexible hybrid arrangement: 2-3 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.

Develop and optimize AI systems for clinical document data extraction and build data pipelines to ensure accuracy of healthcare recommendations. | Requires 4+ years backend/data engineering experience with production LLM systems and expertise in Document AI, OCR, and medical record data extraction. | 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 behavioral healthcare platform. Our models 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 better outcomes while making healthcare more affordable. Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better. Why Onos? Meaningful impact: Help fix what is fundamentally broken in healthcare Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise Culture: Join a high-performing, transparent, and results-oriented team Ownership: Significant responsibility and autonomy from day one Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company The Role We're seeking an experienced AI/ML engineer who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll be responsible for making the core Onos Health AI extraction and evaluation systems accurate, consistent, and trustworthy enough for health plans to depend on. As an early team member, you'll be expected to wear multiple hats and ensure excellent outcomes for our enterprise customers. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week. What you'll be doing at Onos: Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents, classify patients according to level-of-care guidelines, and make accurate recommendations Own and evolve our LLM evaluation harness, regression gates, and observability to ensure our systems catch accuracy regressions before they reach payers and prove the platform's reliability over time Extract structured data from visually complex clinical documents, including scanned charts, tables, and graphs using a mix of OCR, multimodal models, and classical ML Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform Technical Challenges At Onos: Build and operationalize AI/data pipelines to analyze medical records to streamline clinical assessments and healthcare quality reviews Benchmark and stress-test LLM systems so evidence extraction and level-of-care classification stay accurate and reliable as criteria, documents, and models change Develop and optimize a system that ingests complex medical standards of care documents and evaluates provider adherence to guidelines Design explainable AI solutions that provide transparency into model decisions for healthcare professionals Tech Stack: Infrastructure/Systems: AWS (ECS, Bedrock, Cognito, etc.), Docker, Github Actions Languages/Frameworks: Python, Django, Celery, django-ninja, django-tenants Database/Storage: PostgreSQL (AWS RDS), S3 Development Tools: Github, Jira, CoderabbitAI, Tusk, Claude What we're looking for: 4+ years experience building and deploying applications in production in a backend engineering / data engineering capacity Relevant experience with developing LLM-based systems for ingesting and evaluating unstructured records for industry-specific use cases and integrating them with user-facing features Experience with document AI, OCR, or extracting data from visual/scanned content (charts, graphs, tables) Deep understanding of the limitations of using LLMs and the best practices for using them for reliable, consistent, and accurate outputs Customer obsessed and motivated to build best-in-class models for behavioral health clinical assessments in the healthcare space A collaborative team player with a focus on delivering measurable results Bonus points if you have: Specifically worked with medical records to evaluate whether a patient’s history meets criteria for evaluations or assessments (e.g., claims authorization or other types of evaluations) Experience wearing multiple hats as a generalist backend engineer Experience working with data pipelines and Python and related data science/ML libraries Significant experience working with healthcare data and with HIPAA best practices Knowledge of modern LLM and ML infrastructure and MLOps best practices Benefits and Perks Flexible hybrid arrangement: 2-3 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.

Analyze healthcare claims and clinical data to build dashboards and insights that reduce waste and improve care, collaborating closely with product, engineering, and client teams. | 5+ years data analyst experience with strong SQL, healthcare data familiarity, dashboard creation skills, entrepreneurial mindset, and excellent communication. | Job Description - Senior Data Analyst (Healthcare) Location: San Francisco, CA (Hybrid: 2–3 days/week in office) Type: Full-Time 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 models 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. Onos recently closed a $6M Seed round with top-tier investors and is already working with some of the nation’s largest health plans, signing its first national plan just months after launch. Come join a category-defining company and help reimagine healthcare for the better. Why Onos? • Meaningful impact: Help fix what is fundamentally broken in healthcare • Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise • Culture: Join a high-performing, transparent, and results-oriented team • Ownership: Significant responsibility and autonomy from day one • Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company The Role We’re looking for a Healthcare Data Analyst who thrives in a fast-moving startup, loves working with messy healthcare data, and gets things done. This is not a siloed analyst role; you’ll partner closely with product, engineering, and client-facing teams to turn data into insights that directly shape how payers manage care. As Onos’ first data analyst, you’ll not only work hands-on with claims, clinical, and operational data to build analyses and dashboards, but also lay the foundation for our data analytics infrastructure. You will take the lead in building analyses and dashboards that uncover waste, identify care gaps, and generate insights that directly inform our product roadmap and drive continuous improvement. What you'll be doing at Onos: • Data Exploration & Analysis: Dive deep into claims and clinical data to uncover trends, outliers, and actionable insights. • Client Delivery: Build and deliver analyses that highlight opportunities to reduce waste, improve care, and demonstrate value to payers. • Product Insights: Partner with product, engineering, and clinical teams to translate findings into product features, workflows, and automation. • Dashboards & Reporting: Design and maintain clear, impactful dashboards that track performance and outcomes. • Collaboration: Work closely with the CEO, CPO, and client teams to shape narratives and outcomes for health plan executives. What we're looking for: • 5+ years of experience as a data analyst (healthcare, health plans, or clinical data experience very strongly preferred) • Strong SQL and data wrangling skills; comfortable working with large, messy datasets • Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS) • Experience building dashboards (Looker, Tableau, PowerBI, or similar) and communicating insights clearly • Proven ability to “own” both analysis and execution • Scrappy with an entrepreneurial mindset: resourceful, proactive, thrives in ambiguity, and moves fast • Excellent communication skills an ability to translate complex data into clear business insights • Exceptional references from colleagues and former managers Benefits and Perks • Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District) • 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.