Senior Applied Scientist
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 2+ years shipping production algorithms and expertise in ML, optimization, and heuristics.
About the job
What you will do
- Own the design, performance, and evolution of the algorithms that power Garner’s core systems
- Turn messy, real-world healthcare and business constraints into clear optimization problems, scoring systems, and decision frameworks
- Develop objective functions and metrics that balance quality, cost, access, and member experience
- Evaluate system performance, run experiments, and refine logic based on real-world outcomes
- Apply machine learning, optimization, heuristics, or rules-based approaches based on what best solves the problem
- Work closely with engineering to deploy systems that are scalable, interpretable, and resilient
- Build a deep understanding of the healthcare economy
Requirements
- 2+ years of experience shipping data-driven algorithms to production
- Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
- Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
- Strong communication skills and the ability to synthesize complex algorithmic ideas for business and technical stakeholders
- A bias toward action, quickly translating ideas into working prototypes to test approaches
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies
- Python
- SQL
- AWS
- Snowflake
- pandas
- XGBoost
Skills
Python, SQL, AWS, Snowflake, pandas, Xgboost, Machine Learning, Optimization, Statistical Modeling, Heuristics
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