Associate Applied Scientist, Garner Health
$150k
+ Equity
More information about location
Data-powered doctor search tool
Be an early applicant
Data-powered doctor search tool
201-500 employees
Be an early applicant
$150k
+ Equity
More information about location
201-500 employees
Company mission
To transform the healthcare economy, delivering high quality and affordable care for all.
Role
Who you are
- This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves
- 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
- Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you
What the job involves
- As an Associate Applied Scientist, you’ll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them
- This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund
- 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
- To make the role concrete, here are two problems on our near-term roadmap:
- 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
Our take
An overworked US healthcare system has resulted in long waits and expensive prices, meaning that patients can't access the care that they need. Garner Health creates digital services that allow patients to find a medical expert that fits their specific needs, whatever their insurance circumstances are.
The startup provides an app that analyses local health-insurance claims history through AI. This data is used to recommend local medical professionals that will work with a patient's circumstances whilst providing direct communication channels for liaising. This helps patients to identify the highest-quality doctors and helps doctors improve how they practice medicine.
Despite other companies providing similar bespoke healthcare services, Garner Health shows a cutting edge by partnering with patient employers. This provides the financial incentive that employers must cover all or a portion of medical expenses, making healthcare financially accessible for all involved. The company has good funding at its back, and back in 2022 partnered with Marathon Health towards reducing the inefficiencies of specialty referrals.
Steph
Company Specialist at Welcome to the Jungle
Insights
142% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2026
$100m
SERIES E
Feb 2026
$118m
SERIES D
Total funding: $279.3m
Company benefits
- Flexible PTO
- Garner for Garner (employees enrolled in a Garner medical plan gain access to the Garner benefit to find Top Providers and get reimbursed for eligible expenses)
- Hybrid and remote work
- Team meets twice each year to spark innovation and foster belonging
- Variety of social programs beyond work hours
- Equal paid parental leave (12 weeks) following the birth, adoption or placement of a child
- 401(k) plan with a 2% company match and immediate vesting
- Other financial benefits such as Flexible Spending Accounts and mortgage assistance
Company HQ
Flatiron District, New York, NY
Leadership
Nick Reber
(CEO & Founder)Studied Mathematics at Brown before joining Bridgewater Associates as a Senior Investment Associate in 2006. Left Bridgewater in 2016 to join Oscar Health's Leadership Team. Founded Garner in 2018.
Salary benchmarks
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