CommonSpirit Health is looking to optimize resources and reduce costs within its supply chain by developing advanced statistical models and providing data-driven insights to leaders.
Requirements
- Use Python and SQL to build and maintain automation processes
- Design, code, and maintain data pipelines that bring together disparate healthcare data sources
- Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies.
- Use statistical techniques to draw meaningful conclusions from data.
- Build data storage, data warehousing, cloud integration, and data modeling strategies
- Develop and implement predictive models, classification algorithms, and other machine learning techniques
- Technical skills in relevant software (e.g., SQL, Python, C++)
Responsibilities
- Develop advanced statistical models that will provide insight to Supply Chain leaders and leaders from other stakeholder groups in an effort to optimize resources to reduce cost for CHI.
- Clean, transform, and prepare data for development and analysis within a data warehouse composed of supply chain information.
- Use Python and SQL to build and maintain automation processes, such as RPA and email bots, utilizing tools like relay servers and workflow schedulers for internal use by a wide range of supply chain professionals.
- Design, code, and maintain data pipelines that bring together disparate healthcare data sources, including Electronic Health Records (EHR) systems, Enterprise Resource Planning (ERP) systems, and external data feeds from SFTP servers and APIs with a heavy emphasis on cloud-based solutions.
- Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies.
- Build data storage, data warehousing, cloud integration, and data modeling strategies to support data analytic initiatives effectively.
- Develop and implement predictive models, classification algorithms, and other machine learning techniques to solve supply chain oriented problems, such as automating supply chain processes and resource allocation optimization.
Other
- Primarily responsible for developing advanced statistical models that will provide insight to Supply Chain leaders and leaders from other stakeholder groups in an effort to optimize resources to reduce cost for CHI.
- Works with analysts in other functional areas to provide comprehensive models and recommendations for data governance standards.
- Assess various supply chain operations costs in order to identify and shape cost reduction initiatives.
- Work in an agile environment across developers, analysts, project managers, leaders, and stakeholders utilizing Azure DevOps or a similar project management system.
- Remote eligible.
