RosterLab

Maths Optimisation Engineer

About RosterLab

We are a fast-growing, seed-funded SaaS startup revolutionising hospital rostering through a cutting-edge, user-friendly optimisation platform. Our mission is to fully automate and optimise the rostering process. In doing so, we save valuable time for healthcare professionals, improve work-life balance and improve operating efficiency. By joining us, you'll be able to have a positive impact on the lives of healthcare professionals worldwide.

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Industry

HealthTech / SaaS

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Location

Newmarket, Auckland, NZ

What you'll do in the role

Core Engine Development & Algorithm Design

Design and refine the mathematical models that power our AI-driven rostering engine.
Develop sophisticated algorithms to solve the "Scheduling Problem," balancing thousands of hard and soft constraints.
Research and implement advanced optimisation techniques to improve solver speed and accuracy.

Performance Tuning & Scalability

Conduct deep-dive analyses to identify performance bottlenecks in the optimisation engine.
Work closely with the software engineering team to integrate high-performance maths models into our AWS-based tech stack.

Research & Validation

Build mathematical "sandboxes" to test new optimisation strategies before they are deployed to production.
Translate complex clinical and contractual requirements into elegant, solvable objective functions.
Validate the "fairness" and "quality" of generated rosters through rigorous statistical analysis.

Product Strategy

Contribute technical expertise to our product roadmap, specifically regarding new features for our optimisation engine.
Collaborate with Implementation Engineers to solve the most difficult mathematical edge cases encountered during client onboarding.

Who you are

Advanced Degree: You must have a Masters or PhD in Operations Research, Mathematics, Statistics, Engineering (with an optimisation focus), or a related quantitative field.
Optimisation Expert: You have deep experience with solvers (e.g., Gurobi, CPLEX, OR-Tools) and mathematical modelling.
Logical Thinker: You excel at breaking down high-level business problems into clear, solvable mathematical frameworks.
Detail-Orientated: You understand that accuracy is critical—a small error in your model can affect the lives of thousands of healthcare workers.