{"id":825255,"url":"https://alion.io/job/onoshealth-lead-data-scientist","title":"Lead Data Scientist","company":{"id":679758,"name":"Onos Health","domain":"onoshealth.com","url":"https://alion.io/company/onoshealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-12T21:20:15Z","employer_posted_date":"2026-07-12","last_verified_at":"2026-10-21T00:17:14Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"About Onos Health\nOnos 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.\nOnos 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.\nCome join a category-defining company and transform how healthcare is managed in the U.S.\nWhy Onos?\nMeaningful impact: Help solve one of healthcare’s biggest challenges by improving quality while reducing waste.\n\nOwnership: Take on significant responsibility from day one and shape a rapidly growing company.\n\nDirect collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development.\n\nHigh-performing team: Join a transparent, collaborative, and execution-focused culture.\n\nBuild something new: Help define the next generation of AI-powered healthcare analytics.\n\nThe Role\nWe’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.\nThis 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.\nSuccess 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.\nYou’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.\nWhat You’ll Be Doing\nPartner with Customers\nWork directly with payer analytics, clinical, operational, and executive teams to understand their data, systems, and business objectives.\n\nHelp customers understand and validate the insights generated by the Onos platform.\n\nDesign and execute analyses that quantify ROI, clinical outcomes, operational improvements, and program impact.\n\nPresent methodologies, findings, and recommendations to both technical and executive audiences.\n\nServe as a trusted analytical partner during implementations, pilots, and ongoing customer engagements.\n\nShape Product & Data Strategy\nPartner with Product and Engineering to determine how new data sources-including claims, clinical documentation, authorizations, and operational data-should be integrated into the platform.\n\nHelp define the dashboards, reporting, metrics, and analytics that customers use every day.\n\nTranslate customer questions and analytical needs into scalable product capabilities.\n\nIdentify opportunities to leverage customer data to create new products, insights, and decision-support tools.\n\nDrive Analytics & Insight Generation\nExplore complex healthcare datasets to identify utilization patterns, quality opportunities, provider variation, and operational inefficiencies.\n\nDesign rigorous analytical methodologies for measuring clinical appropriateness, quality, program integrity, and financial impact.\n\nBuild statistical models and analytical frameworks that support product development and customer decision-making.\n\nApply machine learning where it meaningfully improves customer outcomes and platform capabilities.\n\nCollaborate Across the Company\nWork closely with Product, Engineering, Clinical Operations, and Customer Success to solve complex customer problems.\n\nHelp prioritize analytical initiatives and influence product direction.\n\nServe as the company’s subject matter expert on healthcare data, analytics, and measurement.\n\nWhat We’re Looking For\n8+ years of experience in healthcare analytics, data science, biostatistics, or a related quantitative field.\n\nDeep experience working with healthcare claims, clinical, authorization, eligibility, or operational healthcare data.\n\nStrong SQL and Python skills for exploratory analysis, statistical modeling, and data validation.\n\nStrong foundation in statistics, experimental design, causal inference, predictive modeling, and analytical methodology.\n\nExperience designing analyses that measure clinical, operational, or financial outcomes.\n\nAbility to translate complex analytical concepts into clear, actionable business insights.\n\nExcellent communication and presentation skills, with the ability to engage both technical teams and executive stakeholders.\n\nExperience working directly with customers or external stakeholders is strongly preferred.\n\nProduct-minded, with an interest in turning analytical insights into scalable software capabilities.\n\nComfortable working in ambiguity and excited to help build processes, products, and best practices from the ground up.\n\nHealthcare payer, provider, or health technology experience strongly preferred.\n\nExceptional references from colleagues and former managers.\n\nWhy This Role Is Unique\nAt 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.\nIf 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.\nBenefits & Perks\nFlexible hybrid arrangement (~3 days/week in our San Francisco office)\n\nUnlimited vacation policy\n\nPaid parental leave\n\nMedical, dental, and vision insurance\n\nPre-tax commuter benefits\n\n401(k)\n\nSignificant equity as an early employee\n\nDirect mentorship from experienced founders\n\nGround-floor opportunity to help build both the product and company\n\nRegular team events and off-sites\n\nCompany-provided equipment and home office setup\n\nWe are an equal opportunity employer and value diversity at Onos. 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