Lead Data Scientist
San Francisco · San Francisco, California, United States
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Product — team source
Department: Product
From the employer’s posting
What you’ll work on
Full postingDesign analyses that quantify ROI, clinical outcomes, and program impact for customers
Help define dashboards, reporting, and metrics that customers use daily
Decide how new data sources like claims and authorizations are integrated into the platform
Explore healthcare datasets for utilization patterns, quality gaps, and inefficiencies
Present methodologies and findings to technical and executive audiences
From the employer’s posting
Design and execute analyses that quantify ROI, clinical outcomes, operational improvements, and program impact.
Help define the dashboards, reporting, metrics, and analytics that customers use every day.
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.
Explore complex healthcare datasets to identify utilization patterns, quality opportunities, provider variation, and operational inefficiencies.
Present methodologies, findings, and recommendations to both technical and executive audiences.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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.
Benefits in the posting
Full benefits wording- 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
From the employer’s posting.
About Onos Health
Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 16, 2026 · 105 days ago
- Recorded sightings
- 39
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Jul 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
Benefits & Perks - Flexible hybrid arrangement (~3 days/week in our San Francisco office) - Unlimited vacation policy
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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