Join a multidisciplinary AI and life sciences team building the cloud data platform that turns clinical, genomic, imaging, and other biomedical data into reliable, model-ready assets. This hands-on role combines platform engineering, data infrastructure, and bioinformatics workflows to support internal teams and external partners.

Build and operate cloud data infrastructure, including object storage, lakehouse architecture, catalogs, lineage, versioning, and access layers.

Design and maintain governed data warehouses for clinical records, molecular features, metadata, and versioned dataset releases.

Develop reproducible omics pipelines for data such as whole-genome sequencing, RNA sequencing, and proteomics using containerized workflows and cloud batch compute.

Implement data quality checks, biological validation, and visualizations that help teams identify issues across processing steps.

Prepare training-ready dataset releases and build data deployment interfaces for models used in partner environments.

Build and operate production cloud infrastructure, Kubernetes clusters, CI/CD systems, and distributed workload orchestration, with attention to reliability, security, observability, and cost.

Platform Bioinformatician

Responsibilities

Qualification

Required

Preferred

Company

Clera

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