Overview In this role you will turn complex logistics challenges into optimization models and decision systems to connect clinicians with patients at home. You'll operate at the crossroads of research and engineering, shaping problems into deployable solutions and partnering with operations, product, and engineering. Your work aims to improve visit efficiency, clinician utilization, and patient access at scale. This is an impact-driven role in a mission to enhance home-based care through rigorous, data-driven decision making.
Compensation / Benefits- Meaningful pre-IPO equity
- Medical, dental, and vision plans 100% paid for you and your dependents
- Flexible PTO + 10 paid holidays
- 401(k) with match
- Parental leave policy
- Free daily lunch in-office
Responsibilities- Turn ambiguous operational problems into well-posed optimization, forecasting, or simulation tasks
- Build strong baselines and iterate with value-driven complexity
- Develop solutions across operations research, optimization, and ML, selecting appropriate tools
- Run offline evaluations, backtests, and live experiments to predict real-world impact
- Collaborate with Engineering to productionize optimization and decision systems
- Validate assumptions with operations partners and SMEs; explain tradeoffs to leadership
Key requirements- Strong foundations in operations research or optimization: modeling, algorithms, experimental design, and honest evaluation
- Strong Python and SQL, with ability to run experiments end-to-end
- Fluency with AI coding assistants (Claude Code, Cursor) in daily workflow
- Ability to translate ambiguous problems into well-posed optimization or forecasting tasks
- Judgment about uncertainty, constraints, and edge cases in real-world data
- Interest in operations collaboration and applied healthcare impact
- collaboration
- effective communication
- problem solving under uncertainty
- optimization
- operations research
- machine learning
