Garner Health Logo

Garner Health

Senior Applied Scientist

Posted 16 Hours Ago
Be an Early Applicant
Easy Apply
In-Office
New York, NY, USA
200K-245K Annually
Senior level
Easy Apply
In-Office
New York, NY, USA
200K-245K Annually
Senior level
The Senior Applied Scientist will develop and optimize algorithms for evaluating healthcare providers, focusing on quality, cost, and access, and will work closely with engineering to implement scalable solutions.
The summary above was generated by AI

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 [email protected].

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 [email protected]

Garner Health New York, New York, USA Office

521 Broadway, New York, NY, United States, 10012

Similar Jobs at Garner Health

17 Hours Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
153K-190K Annually
Senior level
153K-190K Annually
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
The role involves automating operational workflows, building API-driven systems, managing integrations, and applying infrastructure-as-code to enhance healthcare operations.
Top Skills: AirtableAtlassianAWSClaudeFreshserviceGCPGeminiGoGoogle WorkspaceIntuneJamf ProKandjiNode.jsOktaOkta WorkflowsOpenaiPowershellPythonRetoolSlackSoarTerraform
Yesterday
Easy Apply
In-Office
New York, NY, USA
Easy Apply
263K-300K Annually
Expert/Leader
263K-300K Annually
Expert/Leader
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
We seek a Staff Data Scientist to lead projects on provider performance analysis, build predictive models, and mentor team members, impacting healthcare quality and costs.
Top Skills: ArgoAWSDbtJupyter NotebooksPythonSnowflakeSQLTerraform
2 Days Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
239K-275K Annually
Senior level
239K-275K Annually
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Manage the Data Platform Team, focusing on high-throughput data infrastructure and AI-native development. Oversee data processing systems, mentor engineers, and align team goals with business objectives.
Top Skills: AirflowAWSClaude CodeDbtIcebergKubernetesNatsOpenmetadataPythonSnowflakeSparkTerraform

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account