You will own the data infrastructure for a genomics-powered health company, designing systems to handle regulated, identifiable health data. This role involves building secure, future-proof platforms that manage clinical records and consent while navigating complex governance requirements. You will be the technical lead for security and integration in a high-stakes environment.
Data Infrastructure Engineer at well-funded healthtech startup
Are you a senior engineer who speaks health data as a native language? This well-funded healthtech startup is looking for a Data Infrastructure Engineer to own their entire technical foundation, building high-security systems for regulated clinical data and navigating complex governance while deploying into constrained environments where elegance in a clean room is not an option.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded healthtech startup
What you will do
- Design and build a secure data platform capable of handling identifiable health and multi-omics data at scale.
- Personally own and defend the security posture of systems holding regulated data to auditors and counterparties.
- Develop sophisticated systems for revocable consent and data provenance that satisfy rigorous long-term governance requirements.
Who this is a fit for
- Deep expertise in health data systems, with a native understanding of clinical records and EHR nuances.
- Proven track record of personal accountability for the security posture of systems holding regulated, identifiable data.
- Experience deploying into constrained, partner-facing environments where you must work against data infrastructure you do not control.
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Why this role is remarkable
- Lead the technical foundation of a mission-driven company utilizing genomics to transform human health outcomes.
- Join an early-stage, well-funded team where you have total end-to-end ownership of every critical data system.
- Solve unique technical challenges around long-term data provenance and evolving global health data regulations.
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