Aledade's strategic approach to risk stratification and documentation requires analyses that leverage rich data sources including Medicare claims, payer sourced data, and electronic health records. The company also needs to develop and refine forecasting models to support enterprise-wide projections and ensure transparency, reproducibility, and compliance with internal and external standards.
Requirements
- Experience with SQL for data manipulation and Python for statistical programming
- Experience with healthcare data sources such as medical or pharmacy claims, electronic health record, event notification, clinical, and patient reported data, and working in a complex enterprise data warehouse
- Knowledge of CMS Risk Adjustment models, CMS data files, and methods for developing trend assumptions.
- Excellent quantitative analysis abilities, with demonstrated ability to conduct nuanced analyses to produce accurate and unbiased results and tell the story of those results in data visualizations, presentations, and reports.
- Attention to detail, particularly with version control (e.g. Git), quality assurance, documentation, and building repeatable processes
- Ability to manage projects through the entire life cycle, from design through implementation, documentation, and presentation of findings
Responsibilities
- Design and program code to integrate, evaluate, and analyze diverse data sources to support risk adjustment for all Medicare populations.
- Work closely with other team members on forecasting and modeling MA risk scores.
- Design descriptive, predictive, and/or causal inference statistical analyses to answer key business questions.
- Perform data analysis and statistical modeling to generate actionable insights and solutions.
- Support junior colleagues in programming, model implementation and knowledge transfers.
- Lead development of analytic products that accurately communicate insights from the data and inspire action.
- Work closely with engineering, business intelligence and product partners to enable analytic solutions.
Other
- Work with teams across Aledade and external partners to understand and clarify questions and issues for data analysis and experiments.
- Work across teams at Aledade to synthesize results, identify implications of analysis results and translate findings into action.
- Ability to thrive in a fast-paced environment and manage competing deadlines and priorities.
- Values people with differing backgrounds and perspectives; supports effective interpersonal and intercultural engagement
- Thinks beyond their immediate team and contributes to making Aledade holistically better (active engagement in employee resource groups, equity and belonging initiatives, book/journal clubs, facilitating training, leading roundtables, etc.)
