At myPlace Health, the business and technical problem is to uncover high-value challenges and design innovative, data-driven solutions to improve how they care for the communities they serve. This involves building predictive models, developing scalable data pipelines, and transforming complex healthcare data into clear insights to guide critical decisions, directly influencing provider engagement, improving documentation and coding accuracy, and ensuring compliant, data-driven risk adjustment submissions.
Requirements
- Proficiency in Python (preferred) or R, with the ability to design and deliver end-to-end data science solutions
- Strong experience using SQL to query and transform large-scale healthcare data into insights that matter
- Solid understanding of data structures, algorithms, and software engineering best practices
- Deep knowledge of techniques including predictive modeling, classification, and natural language processing
- Experience analyzing large, complex datasets such as claims, EMR, enrollment, and operational data
- Hands-on experience with healthcare risk adjustment models like CMS-HCC, PACE, or Medicare Advantage
- Experience with technologies such as 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 both structured and unstructured data
- Create production-ready models using version-controlled workflows, CI/CD practices, and cloud environments
- Track and analyze the full lifecycle of risk-adjustment submissions—including encounter data, EDPS, and RAPS—leveraging knowledge of CMS documents (MAO-004, MOR, MMR) to ensure accuracy and compliance
- Build intuitive dashboards in Power BI that transform complex data into clear, actionable insights for leaders and decision-makers across the organization
- Monitor physician performance in risk-adjustment workflows, surfacing trends in documentation practices and coding accuracy while identifying opportunities for education and workflow optimization
- Develop consistent documentation logic, definitions, and reporting workflows that enable enterprise-wide analytics and improve operational efficiency
Other
- Partner closely with business, clinical, and operational leaders to uncover high-value challenges and design innovative, data-driven solutions
- Empower teams across the organization to deliver better outcomes for the participants who rely on us every day
- Work hand-in-hand with Product and Operations teams
- Translate intricate data findings into meaningful, actionable insights that Operations, Clinical, and Finance teams can easily understand and apply
- Excellent written and verbal communication skills with a collaborative, problem-solving mindset
