Senior Applied Scientist

Garners mission is to transform the healthcare economy delivering high-quality and affordable care for all.

We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful data-driven insights. Our approach guides employees to higher-quality lower-cost care creating a system that works better for everyone. Patients achieve better health outcomes employers spend healthcare dollars more effectively and physicians are rewarded for delivering exceptional care rather than performing more procedures.

Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry and we are building a team of talented mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.

About the role:

We are seeking an exceptional Applied Scientist to work on core search systems that power our product with a particular focus on provider selection and recommendation algorithms. You will play a pivotal role in shaping how Garner selects high-value providers for members by developing the evaluation frameworks objective functions and algorithms that drive our search experience.

This role is ideal for someone who is excited by ambiguous high-impact problems and can translate messy real-world constraints into robust algorithmic systems. You will partner closely with Product and Engineering to design and deliver production algorithms that balance provider quality affordability and access.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday Wednesday and Thursday.

What you will do:

• Build and own the algorithms that power Garners search
• Design objective functions scoring frameworks and decision logic that balance competing goals such as quality cost and access
• Translate ambiguous product and business problems into rigorous algorithmic approaches that can be deployed in production
• Partner with engineers to productionize systems at scale
• Identify where applied machine learning optimization heuristics or rules-based methods are the right tool for a problem
• Develop a strong understanding of the healthcare economy

The ideal candidate has:

• 4 years of experience using Python and SQL to build production data-driven algorithms
• Strong applied problem-solving skills with the ability to define good metrics and design algorithms under ambiguity
• Strong judgment in choosing between statistical models heuristics optimization approaches and simpler algorithmic methods depending on the problem
• Strong communication skills and the ability to synthesize complex algorithmic ideas for business and technical 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

Technologies we use:

• Python SQL AWS Snowflake pandas XGBoost

This is a unique opportunity to join a fast-growing company in a transformative role helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $200000 - $240000. Individual compensation for this role will depend on various factors including qualifications skills and applicable addition to base compensation this role is eligible to participate in our equity incentive and competitive benefits plans including but not limited to: flexible PTO Medical/Dental/Vision plan options 401(k) with company match flexible spending accounts Teladoc Health and more.