Aledade is looking to support new pilots and scaled innovations with analyses that leverage rich data sources including national Medicare claims, other payer claims, electronic health records, and event notification data. They will work cross-functionally with partners across their product and engineering organizations to surface insights on program performance and support recommendations for improvement.
Requirements
- Experience with SQL for data manipulation and R or 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
- 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
- Experience with causal inference methods including designing and/or conducting experimental and quasi-experimental studies (e.g., randomized trials; regression discontinuity, difference-in-differences, instrumental variables, and matched designs).
- Knowledge of standard methods for measuring health care utilization, spending, quality, and related outcomes
Responsibilities
- Design descriptive, predictive, and/or causal inference statistical analyses to answer key business questions.
- Design and program code to integrate, evaluate, and analyze diverse data sources.
- Perform data analysis and statistical modeling to generate actionable insights and solutions.
- Support junior colleagues in programming and model implementation.
- Work across teams at Aledade to synthesize results, identify implications of analysis results and translate findings into action.
- Lead development of analytic products that accurately communicate insights from the data and inspire action.
- Work closely with engineering and other 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.
- 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
- Well-versed in Equity and Inclusion language, concepts, and principles (i.e. health disparities, social drivers of health, implicit bias) and able to communicate and explain them to larger audiences
- Committed to serving teammates and patients with empathy and respect
