Sprinter Health is reimagining how people access care by bringing it directly to their homes, addressing the issue where nearly 30% of patients in the U.S. skip preventive or chronic care due to accessibility issues, leading to over $300B in avoidable costs annually.
Requirements
- Proficiency in JavaScript / TypeScript (preferred) and/or Python
- Experience designing or implementing optimization, forecasting, or simulation systems
- Shipped production systems that balance technical complexity and real-world constraints
- Experience with global optimization techniques or Monte Carlo simulations
- Background in logistics, scheduling, or large-scale routing systems
- Experience in 0→1 environments or scaling early-stage technical systems
Responsibilities
- Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale
- Build simulations that model demand, capacity, and patient behavior under real-world constraints
- Develop predictive models for cancellations, no-shows, and overbooking optimization
- Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems
- Prototype and productionize forecasting and optimization models in a distributed environment
- Own projects end-to-end—from design to implementation and iteration
Other
- 5+ years of software engineering experience with strong backend or full-stack fundamentals
- Background in operations research, applied math, or quantitative modeling
- Collaborated cross-functionally with product, ops, or data science teams to drive measurable impact
- Prior work in healthcare or other operationally complex, data-heavy environments
- You’re motivated by solving real problems that improve access to care
