myPlace Health is looking to solve challenges in how they care for the communities they serve by uncovering high-value challenges and designing innovative, data-driven solutions. This involves improving provider engagement, documentation and coding accuracy, and ensuring compliant, data-driven risk adjustment submissions.
Requirements
- 4+ years of experience applying machine learning and predictive modeling
- Proficiency in Python (preferred) or R, with end-to-end data science solution delivery
- Strong SQL experience transforming large-scale healthcare data into insights
- Understanding of data structures, algorithms, and software engineering best practices
- Knowledge of predictive modeling, classification, and natural language processing
- Experience analyzing large datasets such as claims, EMR, enrollment, and operational data
- Experience with Spark, Fabric, Databricks, or Snowflake
Responsibilities
- Design and deploy predictive models that estimate risk scores and highlight anomalies across patient populations
- Contribute to robust data pipelines and scalable model infrastructure in Microsoft Fabric, integrating structured and unstructured data
- Work with Product and Operations to create production-ready models using version-controlled workflows, CI/CD practices, and cloud environments
- Track the full lifecycle of risk-adjustment submissions and ensure accuracy and compliance with CMS documents (MAO-004, MOR, MMR)
- Build dashboards in Power BI to present clear, actionable insights for leaders
- Monitor physician performance in risk-adjustment workflows and identify opportunities for education and workflow optimization
- Develop consistent documentation logic, definitions, and reporting workflows for enterprise-wide analytics
Other
- Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- Ability to turn complex analysis into clear, actionable insights for technical and non-technical stakeholders
- Excellent written and verbal communication with a collaborative mindset
- Hands-on experience with CMS-HCC, PACE, or Medicare Advantage models
- Based in Los Angeles, with up to 2 onsite days per week depending on business needs
