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HealthLeap
San Francisco, California, USA
Source: HealthLeap careers · View original posting
From HealthLeap's posting. “We” and “our” refer to the employer.
Every day, millions of hospitalized patients who need intervention are missed because clinicians simply can't see everything. HealthLeap is building the AI operating system that helps care teams identify these missed patients, enabling them to improve health outcomes and generate millions of dollars. HealthLeap is changing what is possible: closing gaps that traditional workflows and clinician capacity could never.
Over the past year, we've grown contracted revenue more than 13x, expanded rapidly across leading health systems, and now help care teams identify patients across millions of inpatient encounters.
We're ~25 people. >$32M raised. SF-based, hybrid-friendly. And, we're delivering results that are changing lives.
Senior Data Engineer
HealthLeap runs on data. We’re live at 40+ hospitals and plan to add another 100. You’ll build the core pipelines that move messy clinical data from hospital systems into model inputs, analytics, and the APIs behind what clinicians see.
You’ll make that data usable and reliable. When a feed arrives late, a field changes, or a number looks wrong, you’ll trace it through the system and fix the cause.
Experience building data pipelines for ML products.
Experience with clinical data, EHRs, HL7, or FHIR.
Early-stage experience building and operating core data systems.
This role is NOT for you if
You want to own one piece of the data stack. You’ll work across ingestion, model inputs, analytics, and product APIs.
You want predictable 9-to-5 hours. We protect deep rest, but a hospital go-live can mean a 60+ hour week.
Interview process
No LeetCode or puzzles. Use the tools you’d use on the job, including AI.
Intro call
We decide the same week as the onsite.
Compensation
Location
San Francisco, in person. We work together in the office by default, with flexibility to work from home when needed. We judge output, not hours.
If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.
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