Senior Applied Scientist

Garnerhealth
New York, US
On-site

Who this role is best for

Best suited to senior applied scientists with production algorithm experience who thrive in healthcare optimization problems, based in NYC with 3-day office commitment.

Best fit for

  • Algorithm designers who balance healthcare quality, cost, and access metrics.
    — “Develop objective functions and metrics that balance quality, cost, access, and member experience
  • Practitioners comfortable deploying both ML and heuristic solutions pragmatically.
    — “Apply machine learning, optimization, heuristics, or rules-based approaches based on what best solves the problem
  • Owners of end-to-end algorithmic systems with measurable business impact.
    — “own these systems end-to-end, from problem definition through production and ongoing performance

Things to consider

  • Mandatory 3-day in-office schedule in NYC Financial District.
    — “You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday
  • No visa sponsorship available for international candidates.
    — “we are unable to sponsor or take over sponsorship of an employment visa at this time

How to stand out

  • Showcase specific examples of translating healthcare constraints into algorithms.
    — “Turn messy, real-world healthcare and business constraints into clear optimization problems
  • Demonstrate rapid prototyping skills with measurable outcome improvements.
    — “A bias toward action, quickly translating ideas into working prototypes to test approaches
  • Highlight cross-functional collaboration with engineering teams on scalable systems.
    — “Work closely with engineering to deploy systems that are scalable, interpretable, and resilient
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and deploy algorithmic systems that power Garner’s core systems
  • Evaluate system performance and refine logic based on real-world outcomes
Typical background
Experience in applied machine learningUnderstanding of healthcare systems

Skills & requirements

Required

Applied Machine LearningAlgorithmic SystemsHealthcare OptimizationData-driven Decision Making

Preferred

Optimization ApproachesHeuristics

Stack & domain

PythonSQLAWSSnowflakePandasXgboostMachine LearningOptimizationHeuristicsRules-based ApproachesProblem SolvingCommunicationTeamworkHealthcareData-driven

About the role

Original posting from Garnerhealth via Greenhouse

Garner’s 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 Senior Applied Scientist to build the algorithmic systems that power Garner. These systems determine how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access.

You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance.

Where you will work:

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

What you will do:

Own the design, performance, and evolution of the algorithms that power Garner’s core systems

Turn messy, real-world healthcare and business constraints into clear optimization problems, scoring systems, and decision frameworks

Develop objective functions and metrics that balance quality, cost, access, and member experience

Evaluate system performance, run experiments, and refine logic based on real-world outcomes

Apply machine learning, optimization, heuristics, or rules-based approaches based on what best solves the problem

Work closely with engineering to deploy systems that are scalable, interpretable, and resilient

Build a deep understanding of the healthcare economy

The ideal candidate has:

2+ years of experience shipping data-driven algorithms to production

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

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 intense 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 $200,000 - $245,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In 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), Teladoc Health and more.

Fraud and Security Notice: 

Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.

Equal Employment Opportunity:

Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com. 

Source: Garnerhealth careers (Greenhouse)

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