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Applied Scientist II

Трудовий договір Повна зайнятість Гібридна робота

Дата публікації: 31.08.2026

Garner is on a mission to transform the U.S. healthcare system. We are seeking an exceptional Applied Scientist II to join our Applied Science team. 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 role will be based in our New York City office (in the Financial District), working in the office 3 days per week on Tuesday, Wednesday and Thursday.

Responsibilities

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

Requirements

2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree; 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 be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Benefits

Equity incentive; flexible PTO; Medical/Dental/Vision plan options; 401(k) with company match; flexible spending accounts; Teladoc Health; competitive benefits plans; consistent coaching; real ownership and autonomy; work on problems that matter at a company working to change healthcare at scale
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