Senior Analyst – Statistician

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Curana Health

1001 - 5000 employees

🏥 Healthcare

🤝 B2B

⚕️ Healthcare Insurance

Healthcare • B2B • Healthcare Insurance

Curana Health is a healthcare provider focused on senior primary care and on-site clinical services in skilled nursing and senior living communities. The company partners with operators, payors, and Medicare Advantage plans to implement value-based care models, offering physician-led care teams, medical director services, care coordination (including RPM and APCM), behavioral health, and palliative care. Curana emphasizes reducing hospital readmissions, falls, and polypharmacy while improving resident satisfaction through integrated, community-based care supported by technology and payor partnerships.

📋 Description

• Design and execute observational research studies, including matched cohort analyses and other quasi-experimental approaches • Evaluate the impact of clinical programs and interventions on 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 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 feature generation, covariate selection, and workflow improvement

🎯 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 • Advanced degree in Statistics, Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, or a related field preferred • Experience working with claims, EHR, CMS, MSSP, ACO, or other large-scale healthcare datasets • 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 • Experience with observational research, matched cohort studies, causal inference, propensity score methods, or approaches addressing bias and confounding preferred • 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 preferred • Experience with R, SAS, Databricks, or AI-enabled coding and analytics tools such as Claude Code or Microsoft Copilot preferred • Experience developing publication-quality tables, executive summaries, manuscripts, internal reports, or external-facing research materials preferred • The company is unable to provide sponsorship for a visa at this time (H1B or otherwise)

🏖️ 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 • Contribute to meaningful proof points supporting Curana’s mission to improve health outcomes for seniors • Join a small, collaborative team where expertise is visible and valued

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