Logistics Research Team - Software Engineer (Senior)
Core
Design and implement algorithms to optimize clinician routing, scheduling, and dispatch at national scale for an in-home care delivery model.
Role type
Senior Software Engineer (Logistics Optimization)
Builds
Scalable distributed systems for clinician supply, patient demand, and routing efficiency
Domain
Healthcare logistics and operations research
Deliverable
production ML models
Required skills
Backend or full-stack engineering, optimization/forecasting/simulation system design, operations research or applied math background, cross-functional collaboration
Preferred skills
Global optimization techniques, Monte Carlo simulations, logistics/scheduling/routing systems, 0→1 environment experience
Technologies
TypeScript, Node.js, Python, GraphQL, AWS Amplify Stack, BigQuery, Elasticsearch, Looker, Kibana
Responsibilities
Design and implement algorithms for clinician routing and scheduling; Build simulations modeling demand and capacity; Develop predictive models for cancellations and no-shows; Prototype and productionize forecasting models in a distributed environment; Collaborate with product and ops teams to translate logistics challenges into software systems
Seniority
Senior, hands-on IC
