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
Requirements:
Own the architecture and evolution of the data infrastructure powering a personalised AI health platform
Build reliable, secure, and scalable data foundations to support AI systems
Collaborate with a stem cell research partner to bridge proprietary research with modern health engineering
Ensure data privacy, security, and ML-readiness across pipelines and platforms
Job description
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
