The Role
Own and evolve the data infrastructure for a personalised AI health platform. Design reliable, secure, and scalable backend systems, APIs, and infrastructure; build data pipelines, data models, and ML-ready systems; integrate third-party APIs (wearables, genomics, diagnostics); collaborate with stem-cell research expertise to support AI systems.
Summary Generated by Built In
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
Skills Required
- PhD 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)
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The Company
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
