Own the architecture and evolution of the data infrastructure for a personalized AI health platform. Build a reliable, secure, and scalable technical foundation that synthesizes biological, behavioral, and environmental data.
As Data Platform Engineer, you will own the architecture and evolution of the data infrastructure powering a personalised AI health platform, that synthesises biological, behavioural, and environmental data into a living model of the individual. You will build the technical foundation on which our AI systems grow: reliable, secure, and built to scale. The platform is developed in collaboration with an established stemcell-researcher, bridging decades of proprietary stem cell research with modern health engineering.
Requirements
- PhD preferred, or equivalent depth of technical expertise
- Strong backend background: system architecture, APIs, infrastructure
- Experience with data pipelines, data modelling, and ML-readiness
- Genuine interest in health, longevity, and data-driven medicine
- Experience with third-party APIs (wearables, genomics, diagnostics) is a plus
Benefits
- Start: End of June
- Duration: 3 months, integration into the founding team possible
- Workload: to be discussed
- Location: remote
- Salary: 45 CHF/h