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(Senior) Data Engineer – Healthcare

CompraTica Empleos

EMP:Health
Heidelberg
Tiempo Completo
Remoto
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Descripción

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PAICONPAICON is a Heidelberg-based health data intelligence company building the global health data foundation through its PaiX ecosystem, working to close the representation gap in medical data so personalised medicine works for everyone

We harmonise ethically approved, GDPR compliant real-world health data from providers around the world into a global dataset.

The data covers multiple modalities on various disease entities.

Our flagship product, PaiX Navigator, generates actionable insights for pharma, biotech and AI companies worldwide.

The roleWe are looking for a hands-on senior engineer to integrate data from our global partners into our platform.

Data integration is the core of the role, and agentic AI tooling is part of how we do it.

This is an on-site position in our Heidelberg office.

You will work closely with medical, engineering and commercialization colleagues in a small, pragmatic team with short decision paths and direct access to the founders.

What you'll doOnboard new data partners, from first assessment of their data through to reliable production ingestionMap partner data to our internal data model and work with providers to close gapsBuild and maintain robust, well-tested data pipelinesEnsure high standards in data quality and help evolve our database and data infrastructureDocument data and transformations so that every step is transparent and traceableEnsure data is handled securely, de-identified and in line with healthcare data regulationsHelp us apply AI-assisted methods to data integration, with appropriate quality checksWhat you bringSeveral years of hands-on data engineering, including building and running production data pipelinesStrong SQL and relational database design skillsR and Python.

Habilidades

on Linux systemsFamiliarity with healthcare data standards such as HL7 FHIR and common clinical coding systemsUnderstanding of data privacy and security in a regulated environment, including GDPRDay-to-day use of AI-assisted development ...

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