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Full Stack Engineer

HealthLeap· Engineering
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Hybrid (San Francisco Office)$175k - $275kFull-timePosted 4mo ago

About the role

HealthLeap is building an AI operating system to help care teams identify missed patients and improve health outcomes. This role involves building the clinician dashboards and backend services the product relies on, with a hybrid in-person/remote setup in San Francisco.

Responsibilities

  • Own product work from conversations with clinicians through production.
  • Make complex patient data clear enough for clinicians to find what they need in seconds.
  • Build new products as we expand into more conditions.
  • Build hospital analytics with visualizations people can trust and act on.
  • Ship to hospitals including Cedars-Sinai, Penn Medicine, and Houston Methodist.

Qualifications

  • 5+ years building production web applications, with strong frontend and backend engineering beyond basic CRUD.
  • Strong React, API design, SQL, and relational schema design.
  • An eye for clear interfaces and the judgment to check what the underlying numbers mean.
  • Independent delivery: you talk to users, make scope decisions, verify your work, and own the outcome.
  • Something you’ve built that we can discuss. A public portfolio is welcome; a walkthrough of private work works too.

Skills

Required:Frontend development (React)API designSQL & relational database design

Benefits

  • 100% covered healthcare premiums
  • Unlimited PTO, with a recommended minimum of 20 days
  • 4% 401(k) match
  • Laptop and home office budget
Last updated Sep 30, 2026. Interested? Apply on the company site.

About HealthLeap

HealthLeap is an AI screening 'safety net' for every hospitalized patient.

HealthLeap is an AI screening 'safety net' for every hospitalized patient. HealthLeap's first product is daily malnutrition screening for all patients, but this is only the first condition. HealthLeap is the only validated AI screening tool for malnutrition on the market. They help the right patients get care earlier, and help health systems increase appropriate reimbursement that they're currently leaving on the table.

malnutritionAI screeninghospital careEHR datacontinuous screeningvalidation studyCedars-SinaiJohns Hopkins

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