Midi Health is seeking to optimize a complex, dynamic healthcare marketplace where demand and supply must be intelligently matched across multiple dimensions, including geography, insurance networks, provider credentials, and capacity utilization.
Requirements
- Advanced Python programming: You write clean, efficient, production-quality code and are comfortable working in large codebases
- SQL expertise: Complex queries, performance optimization, and data pipeline design
- Machine Learning: Hands-on experience building, deploying, and monitoring ML models in production
- Optimization: Strong foundation in mathematical optimization (linear programming, mixed-integer programming, constraint satisfaction, heuristic methods)
- Simulation & Forecasting: Experience modeling dynamic systems, time-series forecasting, and scenario analysis
- Statistical rigor: Deep understanding of experimental design, causal inference, and uncertainty quantification
- Marketplace, two-sided network, or supply chain optimization problems
Responsibilities
- Design, build, and deploy optimization and machine learning systems that power intelligent matching between patients and clinicians across a multi-dimensional constraint space
- Develop and maintain production code in our core codebase, collaborating directly with engineering teams on architecture, implementation, and deployment
- Build sophisticated forecasting models that account for lead-time dynamics, where today's demand signals translate into future supply needs weeks later
- Create optimization algorithms for resource allocation problems involving competing objectives: efficiency, quality, equity, and business constraints
- Develop monitoring and inference systems to capture demand signals, capacity constraints, and network gaps in real-time
- Build predictive models leveraging growing datasets to improve decision-making speed and accuracy in resource-constrained environments
- Translate complex marketplace dynamics into actionable insights for demand and supply leaders
Other
- 5+ years of relevant experience (Senior) or 8+ years (Staff), with demonstrated progression in scope and impact
- Proven ability to drive complex, ambiguous projects with minimal guidance
- Excellence in communicating technical concepts to non-technical stakeholders
- Track record of influencing strategic decisions through data and analytics
- Comfort working at multiple altitudes: from debugging code to advising executives
- Candidates must be authorized to work in the U.S. without current or future sponsorship needs
