Staff Applied Scientist

The role

You will design and ship algorithmic systems at the core of the product. You will own production systems end-to-end, including framing problems, choosing approaches, and improving them against real-world outcomes. This is a player-coach role involving both technical work and leading a small team.

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 like machine learning, optimization, or heuristics
• Deliver algorithmic breakthroughs to move important metrics
• Lead a small team by setting technical direction and unblocking them
• Review Applied Science work across the company
• Build understanding of the healthcare economy

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, and optimization
• Strong communication skills, including at the executive level

Nice to have

• PhDs preferred
• Formal management experience is welcome, but not required

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.