Senior Analyst - Statistician

Curana Health; Northern (KY); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Curana Health is seeking a Senior Analyst - Statistician to join our Population Health Operations team. You will use healthcare data, statistical methods, and observational research to measure the real-world impact of Curana's clinical programs and help shape value-based care strategy.

This is an opportunity for a research-minded analytics professional who enjoys working with claims, EHR, CMS, MSSP, ACO, or other large-scale healthcare datasets and wants to see their work influence clinical

Qualifications

• Minimum of 3 years of experience in healthcare analytics, outcomes research, applied statistics, biostatistics, epidemiology, or a related analytical/research environment.
• Bachelor's degree required; advanced degree in Statistics, Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, or a related field preferred.
• Experience working with healthcare datasets such as claims, EHR, CMS, MSSP, ACO, or other large-scale clinical, utilization, or cost data.
• Strong proficiency with Python and SQL.
• Experience applying statistical methods to evaluate programs, outcomes, utilization, cost of care, readmissions, avoidable utilization, quality outcomes, or related healthcare performance measures.
• Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.

Responsibilities

• Design and execute observational research studies, including matched cohort analyses and other quasi-experimental approaches.
• Evaluate the impact of clinical programs and interventions on outcomes such as utilization, cost of care, readmissions, avoidable utilization, quality outcomes, and CMS-related performance measures.
• Develop statistically sound approaches to reduce bias and confounding in healthcare datasets.
• Define cohorts, inclusion and exclusion criteria, comparison groups, exposure groups, and outcome measures aligned with study objectives.
• Extract, clean, structure, and analyze large healthcare datasets, including claims, EHR, ACO, CMS, and MSSP data.
• Build reproducible analytic datasets and workflows using SQL, Python, and other statistical programming tools.
• Translate statistical findings into clear, actionable insights, reports, summaries, and visualizations for clinical, operational, financial, and executive stakeholders.
• Partner with clinical leaders, analytics, data engineering, operations, product, and leadership teams to define study questions, interpret results, and apply findings.
• Use AI-enabled tools, where appropriate, to improve analytic efficiency and support tasks such as feature generation, covariate selection, and workflow improvement.

Skills

Healthcare analytics

Python

SQL

Communication

Education

Bachelor's degree

Master's or PhD preferred

Tools

R

SAS

Databricks

AI-enabled coding tools (Claude Code / Copilot)

Job description

At Curana Health, we're on a mission to radically improve the health, happiness, and dignity of older adults—and we're looking for passionate people to help us do it.

As a national leader in value-based care, we offer senior living communities and skilled nursing facilities a wide range of solutions (including on-site primary care services, Accountable Care Organizations, and Medicare Advantage Special Needs Plans) proven to enhance health outcomes, streamline operations, and create new financial opportunities.

Founded in 2021, we've grown quickly-now serving 200,000+ seniors in 1,500+ communities across 32 states. Our team includes more than 1,000 clinicians alongside care coordinators, analysts, operators, and professionals from all backgrounds, all working together to deliver high-quality, proactive solutions for senior living operators and those they care for.

Ranked #147 on the Inc. 5000 list of America's fastest-growing private companies, we're just getting started. If you're looking to make a meaningful impact on the senior healthcare landscape, you're in the right place—and we look forward to working with you.

For more information about our company, visit CuranaHealth.com.

Summary

Curana Health is seeking a Senior Analyst - Statistician to join our Population Health Operations team. In this role, you will use healthcare data, statistical methods, and observational research to measure the real-world impact of Curana's clinical programs and help shape value-based care strategy.

This is an opportunity for a research-minded analytics professional who enjoys working with claims, EHR, CMS, MSSP, ACO, or other large-scale healthcare datasets and wants to see their work influence clinical outcomes, utilization, cost of care, and strategic decision-making. The ideal candidate is comfortable applying statistical methods to practical healthcare questions and translating results into insights that stakeholders can understand and use.

Why Join Curana Health

• Work on high-impact analyses that directly inform care delivery, outcomes, utilization, and cost of care.


• Apply rigorous statistical methods to real-world healthcare questions in a growing value-based care organization.


• Collaborate with clinical, operational, analytics, and executive stakeholders who use your work to guide strategy and decision-making.


• Contribute to meaningful proof points that support Curana's mission to improve health outcomes for seniors.


• Join a small, collaborative team where your expertise will be visible, valued, and connected to meaningful decisions.

Essential Duties & Responsibilities

• Design and execute observational research studies, including matched cohort analyses and other quasi-experimental approaches.


• Evaluate the impact of clinical programs and interventions on outcomes such as utilization, cost of care, readmissions, avoidable utilization, quality outcomes, and CMS-related performance measures.


• Develop statistically sound approaches to reduce bias and confounding in healthcare datasets.


• Define cohorts, inclusion and exclusion criteria, comparison groups, exposure groups, and outcome measures aligned with study objectives.


• Extract, clean, structure, and analyze large healthcare datasets, including claims, EHR, ACO, CMS, and MSSP data.


• Build reproducible analytic datasets and workflows using SQL, Python, and other statistical programming tools.


• Translate statistical findings into clear, actionable insights, reports, summaries, and visualizations for clinical, operational, financial, and executive stakeholders.


• Partner with clinical leaders, analytics, data engineering, operations, product, and leadership teams to define study questions, interpret results, and apply findings.


• Use AI-enabled tools, where appropriate, to improve analytic efficiency and support tasks such as feature generation, covariate selection, and workflow improvement.

Qualifications

Required Qualifications:

• Minimum of 3 years of experience in healthcare analytics, outcomes research, applied statistics, biostatistics, epidemiology, or a related analytical/research environment.


• Bachelor's degree required; advanced degree in Statistics, Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, or a related field preferred.


• Experience working with healthcare datasets such as claims, EHR, CMS, MSSP, ACO, or other large-scale clinical, utilization, or cost data.


• Strong proficiency with Python and SQL.


• Experience applying statistical methods to evaluate programs, outcomes, utilization, cost of care, readmissions, avoidable utilization, quality outcomes, or related healthcare performance measures.


• Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.

Preferred Qualifications:

• Master's or PhD in Statistics, Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, or a related field.


• Experience with observational research, matched cohort studies, causal inference, propensity score methods, or frameworks for addressing bias and confounding.


• Experience in value-based care, ACOs, population health, post-acute care, long-term care, health plans, academic research, university research, or similar research-focused environments.


• Experience with R, SAS, Databricks, or AI-enabled coding and analytics tools such as Claude Code or Microsoft Copilot.


• Experience developing publication-quality tables, executive summaries, manuscripts, internal reports, or external-facing research materials.