Newfire Global Partners is looking to develop and deploy machine learning models to support operational and clinical use cases within the healthcare sector, leveraging various data sources to drive transformation and improve patient care.
Requirements
- 2+ years experience using Python for machine learning model development and deployment
- 2+ years experience using SQL, Databricks & Pyspark to extract and manipulate data for data engineering tasks
- Version control (GIT)
- CI/CD principles
- Test-driven development
- Experience with Azure or other cloud computing providers preferred
Responsibilities
- Own the development and deployment of machine learning models to support operational and clinical use cases.
- Perform ad-hoc data analyses related to outputs or alternative use-cases for existing models (e.g. summarize outputs for reporting purposes)
- Create and present proposals for machine learning solutions to program owners with the aim of ensuring buy—in to proposed solution
- Develop machine learning models using open-source tools and libraries
- Operationalize models as batch or real-time model inference endpoints
- Utilize healthcare claims, operational data from care management platforms, and EHRs for model development
- Develop code and analyses following good software development practices
Other
- 4+ years previous experience performing quantitative analyses of healthcare claims
- 2+ years experience presenting to business and executive stakeholders
- Work with program owners to understand the goals, key performance measures, and operational details of programs and processes to ensure models are aligned with program intent
- employment will be contingent upon providing documentation verifying your legal work authorization in the country of residence, in accordance with applicable law.
