Senior Health Analytics 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

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