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Senior Director of Medical Economics and Data Science
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Belong Health
Summary
Join Belong Health as the Senior Director of Medical Economics & Data Science, leading the development and execution of data-driven strategies to optimize healthcare cost management and enhance patient outcomes. You will drive advanced analytics initiatives, leveraging cutting-edge methods to provide deep insights into healthcare economics and utilization trends. This leadership role involves collaborating with cross-functional teams to build innovative solutions, inform policy, and improve operational efficiency. You will lead and mentor a high-performing team of data scientists, economists, and analysts, fostering a culture of continuous learning and innovation. The ideal candidate possesses extensive experience in healthcare analytics and machine learning, along with strong leadership and communication skills. A competitive salary range of $150,000 - $175,000 is offered.
Requirements
- Minimum of 6+ years of experience in healthcare analytics, health services research, medical economics, or a related field, with at least 3-5 years in a leadership role
- Proven track record of applying advanced analytics and machine learning techniques to solve complex healthcare problems
- Experience working with Medicare claims, clinical data, and large population health datasets
- Experience working in managed care and ACO/CMMI programs
- Proficiency in data science tools such as Python, R, SQL, and machine learning libraries
- Strong experience with data visualization and reporting tools (e.g., Tableau)
- Expertise in predictive modeling, statistical analysis, and machine learning algorithms
- Knowledge of cloud-based data warehouse structure (e.g. AWS, Snowflake, etc.)
- Strong leadership skills with experience building and managing cross-functional teams
- Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical stakeholders
- Demonstrated ability to drive organizational change through data-driven decision-making
- Masterβs or PhD in Data Science, Economics, Statistics, Health Economics, Computer Science, or a related field with a strong emphasis on quantitative methods and analytics is required
Responsibilities
- Lead and oversee the development of analytical frameworks and models to assess healthcare utilization, costs, and outcomes
- Establish the vision, strategy, and roadmap for integrating machine learning and advanced analytics into medical economics initiatives
- Serve as a subject matter expert in data science methodologies, providing guidance on applying predictive analytics and AI techniques to complex healthcare data
- Analyze large datasets (e.g., Medicare claims, EMR, population health) to identify trends, cost drivers, and opportunities for intervention
- Design and implement machine learning models to predict risk and healthcare utilization patterns
- Collaborate with actuarial teams on financial performance and profitability of products and services
- Ensure scalability and accuracy of data pipelines, models, and analytics processes across the organization
- Partner with data engineering and IT teams to establish efficient data governance practices and to ensure access to reliable, high-quality data
- Work closely with senior leadership to translate complex data insights into actionable business recommendations
- Collaborate with clinical teams to align analytics efforts with population health management, patient care improvement, and clinical efficiency goals
- Present findings and strategic insights to stakeholders at all levels of the organization, ensuring alignment with company goals
- Prioritize and sequence work to meet dynamic needs of our rapidly growing business
- Lead and mentor a high-performing team of data scientists, economists, and analysts
- Foster a culture of continuous learning and innovation, staying at the forefront of developments in machine learning, healthcare economics, and data science
- Other duties as assigned
Preferred Qualifications
- Knowledge of healthcare economics, actuarial analysis, and risk adjustment
- Experience with conducting health services research and publishing peer-reviewed analyses
Benefits
$150,000 - $175,000
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