Platform Engineer, Biotech

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Descripción

About the Role Join a team building AI and machine learning models for biomedical applications. As a hands-on platform engineer, you will develop and operate the data infrastructure that transforms clinical, genomic, imaging, and other biomedical data into secure, reliable assets for research, model development, and deployment. What You'll Do Build and maintain cloud data platforms, including object storage, lakehouse layouts, catalogs, lineage, dataset versioning, and query and access layers. Design and operate systems for clinical and molecular data, including harmonization, metadata, dataset releases, retention, governance, and data integration. Develop reproducible bioinformatics workflows for omics data, using containerized pipelines and cloud batch compute. Build data quality checks, biological validation, and visualizations that help teams identify and resolve data issues. Deliver training-ready datasets and versioned data releases, plus interfaces for deploying data alongside models in partner environments. Operate reliable, secure, observable, and cost-effective production infrastructure, including Kubernetes clusters and distributed workload orchestration. What We're Looking For Two to five years of experience building data infrastructure and production pipelines in biotech, diagnostics, biobanking, health data, or a related field working with sensitive biological or clinical data. Production experience operating Kubernetes, building infrastructure as code with Terr

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