Applied Scientist III

Über das Unternehmen

Garnerhealth

Deine Aufgaben

• We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. 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.

  What you will do:

  • Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on
  • 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
  • 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
  • Build a deep understanding of the healthcare economy and Garner's place in it

  To make the role concrete, here are three 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.
  • AI primary care doctor. 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.
  • 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.

  What we're looking for:

  • 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; 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
  • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
  • 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 m