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Key Responsibilities:
- Design and execute observational research studies, including matched cohort analyses and quasi-experimental approaches, to evaluate clinical program impacts on utilization, cost, and quality outcomes.
- Define cohorts, criteria, and outcome measures; extract, clean, and analyze large healthcare datasets using SQL and Python.
- Translate statistical findings into clear reports and visualizations for diverse stakeholders.
Qualifications:
- Minimum 3 years in healthcare analytics, outcomes research, or applied statistics, with experience in claims, EHR, or CMS data.
- Strong proficiency in Python and SQL; ability to communicate complex findings to non-technical audiences.
- Bachelor’s degree required; advanced degree in Statistics, Biostatistics, or related field preferred.
Why Join:
- Work on high-impact analyses directly informing care delivery and strategic decisions in value-based care.
- Collaborate with clinical, operational, and executive teams, using AI tools to improve efficiency.
- Contribute to meaningful work that supports senior health outcomes in a growing organization.
Curana Health
Curana Health is a national leader in value-based care, providing solutions to senior living communities and skilled nursing facilities to enhance health outcomes and streamline operations. Founded in 2021, the company has grown to serve over 200,000 seniors in 1,500+ communities across 32 states with a team of more than 1,000 clinicians and professionals.