Staff Applied Scientist

Garner is on a mission to transform the U.S. healthcare system. 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. We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access.

Responsibilities

Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them; 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, and set the standard for how the team selects and applies these approaches; Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner; Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied; Build a deep understanding of the healthcare economy and Garner's place in it

Requirements

6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; 4+ 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; Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound; Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem; Strong communication skills, including at the executive level, with a track record of driving alignment across an organization; 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

Nice to have

PhDs preferred

Benefits

Equity incentive; Flexible PTO; Medical/Dental/Vision plan options; 401(k) with company match; Flexible spending accounts; Teladoc Health; Competitive benefits plans