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Lead Data Scientist

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Alt
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
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…

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