Senior Analyst - Statistician

Curana Health, Inc. • Remote,

1d

About The Position

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.

Requirements

• 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.
• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior