The board
- Where
- New York City, New York
- Posted
- Sep 11
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that.
What you'd do
- Ship production algorithmic systems end-to-end, from problem framing to launch to iteration
- Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
- Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
- Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
- Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results
- Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses
- Build a deep understanding of the healthcare economy and Garner's place in it
- Provider tiering optimization.
- Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network.
- The objective function, constraints, and tradeoff surface are all open design questions.
- Member engagement model.
- Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
- Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
What they want
- A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027.
- A bias toward action, quickly translating ideas into working prototypes to test approaches.
- Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them.
- A solid command of the methods your work calls for and the data your models depend on.
- Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem.
- Strong communication skills, with the ability to present your work clearly to senior stakeholders.
- A desire to do work that matters: and to be held to a high standard while doing it.
- You're energized by a mission with measurable outcomes, not just good intentions.
- You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics.