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Tech Stack
About the role
- Design and implement rigorous program evaluation studies using observational healthcare data
- Develop analytic frameworks to measure outcomes such as cost reduction, quality improvement, and patient engagement
- Apply causal inference methods, including PSM, DiD, IPTW, RDD, and other quasiexperimental approaches
- Develop and validate statistical models to estimate treatment effects and assess program impact
- Integrate machine learning algorithms (e.g., random forests, gradient boosting, neural networks) into predictive models using claims, EHR, SDOH, and clinical registry data
- Work with structured and unstructured healthcare data to engineer features from demographics, clinical history, utilization patterns, costs, and SDOH
- Build and refine predictive models for risk stratification and disease progression using longitudinal and time-to-event analysis
- Collaborate with clinical, operational, and data engineering teams to embed models into workflows and develop scalable, reproducible data pipelines
- Maintain transparent, governed, reproducible analytic workflows, including version controlled code and documentation
- Contribute to best practices and methodological standards for program evaluation across the organization
- Stay current with advancements in causal inference, ML, and healthcare analytics to strengthen evaluation rigor
Requirements
- Master’s or Ph.D. in Statistics, Biostatistics, Epidemiology, Health Economics, Data Science, or a related field
- 3+ years of experience in healthcare analytics, program evaluation, or applied statistics
- Proficiency in statistical programming languages such as R or Python
- Experience with healthcare data (claims, EMR, registry data, etc.) and high familiarity with data privacy regulations (e.g., HIPAA)
- Strong understanding of causal inference methods and their application to real-world data
- Experience with predictive modeling for risk stratification and disease progression in healthcare settings
- Experience with VBC analytics, risk adjustment, health equity measurement, and population health management
- Excellent communication skills and ability to translate complex analyses, assumptions, and study limitations into actionable insights for technical and non-technical audiences
Benefits
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
program evaluationcausal inference methodsstatistical modelspredictive modelingmachine learning algorithmslongitudinal analysistime-to-event analysisstatistical programming (R, Python)data engineeringfeature engineering
Soft Skills
communication skillscollaborationtranslating complex analysesmethodological standardsbest practices
Certifications
Master’s degreePh.D.