Staff Applied Scientist

The role

You will build algorithmic systems to evaluate providers, make recommendations, and optimize for cost, quality, and access. You will own these systems end-to-end from problem definition through production.

What you will do

• Own ambiguous, high-stakes problems end-to-end
• Frame healthcare and business constraints into objectives and decision frameworks
• Define and validate metrics to judge solution performance
• Choose appropriate approaches including machine learning, optimization, heuristics, or simple rules
• Deliver algorithmic breakthroughs to move important metrics
• Review applied science work across the company to ensure sound methods
• Build a deep understanding of the healthcare economy and Garner's place in it

Required qualifications

• 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
• Bias toward action and translating ideas into working prototypes
• Strong applied problem-solving skills
• Recognized technical authority
• Strong judgment in choosing between statistical models, heuristics, optimization, and simpler methods
• Strong communication skills, including at the executive level

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

About the company

Garner partners with employers to redesign how healthcare works by applying proprietary clinical metrics to identify best-performing doctors. The company uses AI to steer members to care that helps them get healthier faster.