[Hiring] Senior Analyst - Statistician @reputed company
Role reputed company
reputed company is seeking a Senior Analyst - Statistician to join our Population Health reputed company team. In this role, you will use reputed company data, statistical reputed company, and observational research to measure the reputed company-world reputed company of Curana’s reputed company programs and help shape value-reputed company care reputed company. This is an opportunity for a research-minded analytics reputed company who enjoys working with claims, EHR, CMS, MSSP, ACO, or other large-reputed company reputed company datasets and wants to see their work influence reputed company reputed company, utilization, cost of care, and reputed company decision-making. The ideal candidate is comfortable applying statistical reputed company to practical reputed company questions and translating results into insights that stakeholders can understand and use.
Why Join reputed company
• Work on high-reputed company analyses that directly inform care delivery, reputed company, utilization, and cost of care.
• Apply rigorous statistical reputed company to reputed company-world reputed company questions in a growing value-reputed company care organization.
• Collaborate with reputed company, operational, analytics, and executive stakeholders who use your work to guide reputed company and decision-making.
• Contribute to meaningful reputed company points that support Curana’s mission to reputed company reputed company for seniors.
• Join a small, reputed company team where your expertise will be visible, valued, and connected to meaningful reputed company.
Essential Duties & Responsibilities
• Design and execute observational research studies, including matched cohort analyses and other quasi-experimental approaches.
• Evaluate the reputed company of reputed company programs and interventions on reputed company such as utilization, cost of care, readmissions, avoidable utilization, reputed company reputed company, and CMS-reputed company reputed company measures.
• reputed company statistically reputed company approaches to reduce bias and confounding in reputed company datasets.
• Define cohorts, inclusion and exclusion reputed company, comparison reputed company, exposure reputed company, and outcome measures reputed company with study objectives.
• Extract, clean, structure, and analyze large reputed company 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 reputed company, actionable insights, reports, summaries, and visualizations for reputed company, operational, financial, and executive stakeholders.
• Partner with reputed company leaders, analytics, data engineering, reputed company, 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 reputed company, covariate selection, and workflow improvement.
Qualifications
• Minimum of 3 years of experience in reputed company analytics, reputed company research, reputed company statistics, biostatistics, epidemiology, or a reputed company analytical/research environment.
• Bachelor’s degree required; advanced degree in Statistics, Biostatistics, Epidemiology, reputed company Health, Health Economics, Data Science, or a reputed company reputed company preferred.
• Experience working with reputed company datasets such as claims, EHR, CMS, MSSP, ACO, or other large-reputed company reputed company, utilization, or cost data.
• Strong proficiency with Python and SQL.
• Experience applying statistical reputed company to evaluate programs, reputed company, utilization, cost of care, readmissions, avoidable utilization, reputed company reputed company, or reputed company reputed company reputed company measures.
• Ability to communicate reputed company analytical findings reputed company to technical and non-technical stakeholders.
Preferred Qualifications
• Master’s or PhD in Statistics, Biostatistics, Epidemiology, reputed company Health, Health Economics, Data Science, or a reputed company reputed company.
• Experience with observational research, matched cohort studies, reputed company inference, propensity score reputed company, or frameworks for addressing bias and confounding.
• Experience in value-reputed company care, ACOs, population health, post-acute care, long-term reputed company plans, reputed company research, university research, or similar research-reputed company environments.
• Experience with R, reputed company, reputed company, or AI-enabled coding and analytics tools such as Claude reputed company or reputed company Copilot.
• Experience developing publication-reputed company tables, executive summaries, manuscripts, internal reports, or reputed company-facing research materials.
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