Senior Applied Scientist: Healthcare AI at Scale

Garner Health; New York (NY); On-site; USD 236,000 - 260,000; Full time

Job summary

Garner Health is hiring a Senior Applied Scientist to design, develop, and deploy algorithmic systems powering our healthcare products. You will translate real-world constraints into objective-driven solutions and shape the metrics that judge success.

You’ll own high-stakes problems end-to-end, frame tradeoffs, and build scalable models from ML to optimization, collaborating with cross-functional teams to advance Garner’s mission to improve care and lower costs.

Qualifications

• 4+ years in Applied Science/ML roles or 2+ years with advanced degree (PhD preferred).
• Ability to translate ideas into working prototypes quickly.
• Strong judgment in selecting modeling approaches and evaluating results.

Responsibilities

• Own the most ambiguous, high-stakes problems end-to-end.
• Frame real-world constraints into clear objectives and tradeoffs.
• Define metrics to judge solution success and validate before shipping.
• Choose methods from ML, optimization, heuristics, or simple rules as needed.
• Find novel ways to frame and solve tough problems.
• Set quality bar by reviewing peers’ work and building evaluation tooling.
• Build deep understanding of the healthcare economy and Garner’s role in it.

Skills

Strong communication

Problem solving

Bias toward action

Prototype mentality

Data fluency

Education

PhD preferred

Tools

Python

SQL

AWS

Snowflake

pandas

XGBoost

PyTorch

HuggingFace

Job description

Garner Health is hiring a Senior Applied Scientist to design, develop, and deploy algorithmic systems powering our healthcare products. You will translate real-world constraints into objective-driven solutions and shape the metrics that judge success.

You’ll own high-stakes problems end-to-end, frame tradeoffs, and build scalable models from ML to optimization, collaborating with cross-functional teams to advance Garner’s mission to improve care and lower costs.