Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Staff Healthcare Analyst role.
Rezi rewrites your resume against Abby Care's job description. Free.
Tailor your resume to this Staff Healthcare Analyst role.
Rezi rewrites your resume against Abby Care's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Healthcare Analyst posting at Abby Care — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Healthcare Analyst posting at Abby Care — free, in seconds.
About the Role
Abby Care is seeking a Staff Healthcare Analyst to lead efforts in patient risk modeling, clinical outcomes measurement, and cost/value analysis. This role requires subject matter expertise in clinical and health economics analytics, reporting to the Senior Manager of Data & Analytics. You will define strategies for measuring risk, cost, and outcomes, and build analytical models to demonstrate the value of family-led care.
Responsibilities
- Build patient stratification and risk models to inform care prioritization and intervention design.
- Own risk adjustment methodology and ensure alignment with payor and regulatory expectations.
- Analyze payor claims data to identify utilization patterns, cost drivers, and gaps in care.
- Lead cost of care and ROI analyses to quantify the value of family-led care.
- Structure and analyze value-based care and risk-sharing arrangements.
- Develop and validate methodology, assumptions, and results for payor negotiations and audits.
- Design clinical studies to research and publish health outcome studies.
- Own implementation of clinical quality and outcomes measurement, aligning with industry frameworks.
- Build the evidence base (case studies, white papers, publications) to establish credibility.
- Partner with Finance to integrate clinical and health economics analysis into payor contract negotiations.
- Collaborate with Clinical, Health Plan, Engineering, and Product teams to define shared metrics and data models.
- Establish measurement frameworks for clinical interventions, care protocols, and experiments.
Requirements
- 5+ years of experience in healthcare/clinical analytics, health economics and outcomes research (HEOR), actuarial analytics, biostatistics, or population health, with direct experience leading analytics for a business or clinical domain.
- Advanced SQL and strong proficiency in Python or R, including statistical and predictive/risk modeling.
- Hands-on experience analyzing payor claims data (medical and pharmacy), including familiarity with claims data structures and standard code sets (e.g., ICD-10, CPT, NDC).
- Direct experience working with health plans, payors, or actuaries.
- Demonstrated experience designing and executing health outcomes studies, including 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 is preferred.
- Background in causal inference, survival analysis, or predictive modeling for clinical/financial risk is preferred.
- Familiarity with Medicaid, Medicare, or dual-eligible populations and their unique cost/quality dynamics is preferred.
- Experience with prior authorization, revenue cycle, or patient lifecycle data is preferred.
- Familiarity with the data requirements of AI or agentic clinical systems is preferred.
Skills
- Healthcare analytics
- Clinical analytics
- Health economics
- Outcomes research (HEOR)
- Actuarial analytics
- Biostatistics
- Population health
- SQL
- Python
- R
- Statistical modeling
- Predictive modeling
- Risk modeling
- Payor claims data analysis
- Claims data structures
- Code sets (ICD-10, CPT, NDC)
- Health plans
- Payors
- Actuaries
- Health outcomes studies
- Risk adjustment
- Cost of care analysis
- ROI analysis
- Value-based care economics
- Clinical quality measurement
- dbt
- Git
- Cloud data warehouses
- BI platforms
- Communication
- Stakeholder management
- Data quality
- Rigor
- Documentation
- Causal inference
- Survival analysis
- Medicaid
- Medicare
- Prior authorization
- Revenue cycle
- Patient lifecycle data
- AI data requirements
- Agentic clinical systems
Location
- San Francisco, California
Work Type
- Full-time
- Hybrid
Experience Level
- 5+ years of experience
Salary/Compensations
- Competitive compensation packages
Benefits
- Competitive compensation packages
- Comprehensive health coverage (medical, dental, vision)
- $0 deductible PPO option
- Company-funded HSA
- Employer-paid life and disability insurance
- Generous paid time off
- 10 paid company holidays
- HSA contributions
- Optional FSA
- Commuter benefits
- Full coverage of all 401(k) account fees
- Up to 10 weeks of paid parental leave
About the Company
- Abby Care is building the leading AI-native platform for family-led care, addressing the growing care crisis in America.
- We believe families are the largest untapped caregiving workforce and technology can empower them.
- Our platform combines clinical oversight with AI to train, enable, and support family caregivers.
- We partner with health plans, providers, and government organizations to improve care at home.
- We are backed by top VCs and envision a future where family-led care is a core part of the healthcare system.
Equal Opportunity
- Abby Care is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis.
- If you have a disability and require reasonable accommodation during any portion of the application or hiring process, contact talent@abbycare.org.
- Abby Care considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, Philadelphia, and New York City Fair Chance laws.
- We are an E-Verify participating company.
- Abby Care may use automated decision tools to help match and rank candidate work experience, education and skills found in online profiles, resumes and job applications against job requirements.
- All Abby Care hiring decisions involve final human review and input.
- If you have questions or would like to request an alternative process, contact talent@abbycare.org.