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Onos Health

Unstructured clinical data to payer insights

Lead Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 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.
  • A 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, including the ability to engage technical teams and executive stakeholders.
  • A product-minded approach and interest in turning analytical insights into scalable software capabilities.
  • Comfort working in ambiguity and helping build processes, products, and best practices from the ground up.
  • Exceptional references from colleagues and former managers.

Responsibilities

  • Work directly with payer analytics, clinical, operational, and executive teams to understand their data, systems, and business objectives.
  • Help customers understand and validate insights generated by the Onos platform.
  • Design and execute analyses that quantify return on investment, clinical outcomes, operational improvements, and program impact.
  • Present methodologies, findings, and recommendations to technical and executive audiences.
  • Serve as a trusted analytical partner during implementations, pilots, and ongoing customer engagements.
  • 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 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.
  • 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.
  • 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.

Desired Qualifications

  • Experience working directly with customers or external stakeholders.
  • Healthcare payer, provider, or health technology experience.

About the Company

Onos Health

Unstructured clinical data to payer insights

Onos Health provides a behavioral-health clinical intelligence platform for health plans that turns unstructured clinical notes, claims, and utilization data into quality and care-pathway insights. Its AI extracts signals from notes and combines them with structured data to surface metrics and recommended care paths, helping payers partner with providers, speed reviews, and reduce costs. It specializes in unstructured behavioral-health data and targets large plans, with customers including Aetna, showing results like ~35% better adherence, ~75% faster reviews, and >6% lower program costs in 12 months. Its goal is to accelerate adoption across health plans to improve behavioral-health quality, outcomes, and affordability.

Company size
11-50
Company stage
Series A
Total funding
$23.3M
Headquarters
San Francisco, CA
Founded
2024

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