Garner Health
Senior Applied Scientist
New York City, New York · Senior
Sponsorship not specified$236k-$260kDetected 14 days ago
PythonAlgorithmsSQLSnowflakeAWSMachine LearningPyTorchPandasLLMsResearchCommunicationProblem Solving
About the role
- We are seeking an exceptional Senior Applied Scientist to join our Applied Science team.
- Our members rely on us to answer hard questions - Which doctor should I see?
- When should we reach out, and how? - and the quality of those answers is determined by the algorithms behind them.
Responsibilities
- Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on
- Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
- Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on
- Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on
- 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.
Requirements
- The ideal candidate has:
Nice to have
- or 2+ years of industry experience with a relevant advanced degree, PhDs preferred
- A bias toward action, quickly translating ideas into working prototypes to test approaches
- Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field
- 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 senior and external stakeholders, and to secure buy-in for cross-team work
Compensation
- The target base comp range for this position is $236,000 - $260,000.
- Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws.
- In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Benefits
- Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
- We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights.
- Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
- Garner is one of the fastest-growing healthcare technology companies in the country.
- Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace.
- Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process.
- Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
- 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
- Build a deep understanding of the healthcare economy and Garner's place in it
- Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
- 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent
Equal opportunity
- We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
- If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Visa & Work Authorization
- Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
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This listing is sourced directly from Garner Health's careers page and normalized into a canonical job model.