Staff Healthcare Analyst

Abby Care

. Build patient stratification and risk models for utilization risk, hospitalization/adverse event risk, and acuity tiers .

Posted 9/29/2026full-timeSan Francisco • California • United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare analytics, risk adjustment methodologies, and value-based care economics, with a strong focus on data analysis and clinical quality measurement. Proficient in advanced statistical modeling and familiar with healthcare claims data structures and regulatory standards.

Highest-signal resume keywords

Healthcare/Clinical Analytics ExperienceAdvanced SQLProficiency in Python or RRisk Adjustment MethodologyHealth Outcomes Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive ModelingData AnalysisClaims Data AnalysisCost of Care AnalysisValue-Based Care EconomicsClinical Quality MeasurementCausal InferenceSurvival AnalysisHealth Economics

Soft Skills

Excellent CommunicationStakeholder ManagementHigh Standards for Data Quality

Tools & Technologies

DbtGitCloud Data WarehousesBI Platforms

Industry Keywords

HEDISICD-10CPTNDCMedicaidMedicarePopulation HealthValue-Based CareRisk-Bearing Healthcare OrganizationPrior Authorization

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Build patient stratification and risk models for utilization risk, hospitalization/adverse event risk, and acuity tiers
Own risk adjustment methodology and align it with payor and regulatory expectations
Analyze medical and pharmacy claims data to identify utilization patterns, cost drivers, and gaps in care
Lead cost-of-care and ROI analyses quantifying the value of family-led care
Structure and analyze value-based care and risk-sharing arrangements
Model shared savings, care management fees, and other VBC contract structures
Develop and validate methodologies, assumptions, and results for Finance, payors, actuaries, and audits
Design clinical studies with the Clinical team and research health outcomes
Own clinical quality and outcomes measurement aligned with HEDIS, Stars, and state Medicaid quality measures
Build evidence through case studies, white papers, peer-reviewed publications, and conference presentations
Partner with Finance on payor contract negotiations
Collaborate with Clinical, Health Plan, Engineering, and Product teams on shared metrics, data models, and dashboards
Establish measurement frameworks for clinical interventions, care protocols, and product/operational experiments
Set strategy and standards for measuring risk, cost, and outcomes
Serve as the subject matter expert for clinical and health economics analytics

Requirements

What you’ll need

5+ years of experience in healthcare/clinical analytics, health economics and outcomes research (HEOR), actuarial analytics, biostatistics, or population health
Direct experience leading analytics for a business or clinical domain
Advanced SQL
Strong proficiency in Python or R, including statistical and predictive/risk modeling
Hands-on experience analyzing payor claims data (medical and pharmacy)
Familiarity with claims data structures and standard code sets such as ICD-10, CPT, and NDC
Direct experience working with health plans, payors, or actuaries
Experience designing and executing health outcomes studies
Publication in peer-reviewed journals and/or presentation at industry conferences
Deep knowledge of risk adjustment, cost of care/ROI methodology, value-based care economics, and clinical quality measurement
Experience with dbt, Git, cloud data warehouses, and BI platforms
Excellent communication and stakeholder-management skills
High standards for data quality, rigor, and documentation
Experience at a value-based care, population health, or risk-bearing healthcare organization preferred
Background in causal inference, survival analysis, or predictive modeling for clinical/financial risk preferred
Familiarity with Medicaid, Medicare, or dual-eligible populations preferred
Experience with prior authorization, revenue cycle, or patient lifecycle data preferred
Familiarity with the data requirements of AI or agentic clinical systems preferred
Employment is contingent upon successful completion of a background check, satisfactory references, and any required documentation
Must be willing and able to work hybrid in San Francisco, California
Must address US work sponsorship requirements

Benefits

Comp & perks

Competitive compensation packages
Medical, dental, and vision coverage
$0 deductible PPO
Company-funded HSA
Employer-paid life and disability insurance
Generous paid time off
10 paid company holidays
HSA contributions
Optional FSA and commuter benefits
Full coverage of all 401(k) account fees (employer match not currently offered)
Up to 10 weeks of paid parental leave based on tenure
Equity