Platform Engineer, Biotech

The role

You will design and operate a data platform for scientific and machine learning teams. This includes building cloud data components, designing governed systems, and developing bioinformatics workflows.

What you will do

• Build and maintain cloud data platform components including object storage, lakehouse architecture, catalogs, lineage, dataset versioning, and query and access layers.
• Design and operate data warehouses and governed systems for clinical records, molecular features, metadata, retention, and dataset releases.
• Develop reproducible bioinformatics workflows for omics data using containerized pipelines and cloud batch compute.
• Implement data quality checks, biological validation, and visualizations.
• Deliver versioned, training-ready datasets and data deployment interfaces.
• Operate production infrastructure including Kubernetes, CI/CD, workload orchestration, security, reliability, observability, and cost optimization.

Required qualifications

• Two to five years of experience building data infrastructure and production pipelines as a platform engineer in biotech, diagnostics, biobanking, health data, or a related field working with sensitive
• Production experience operating Kubernetes clusters.
• Writing infrastructure as code with Terraform or similar tools.
• Shipping tested, documented Python and/or Go code.
• Experience designing CI/CD and deployment systems.
• Orchestrating distributed workloads.
• Owning infrastructure reliability, observability, security, and cost.
• Familiarity with a major cloud provider.
• Docker.
• Workflow managers such as Nextflow.
• Lakehouse and warehouse design, data catalogs, and orchestration.

Nice to have

• AWS
• Experience with large-scale data pipelines, machine learning infrastructure, or GPU workloads is valuable.
• Knowledge of omics workflows, bioinformatics tools, OMOP, FHIR, R, or SQL is also relevant.
• Experience implementing compliance controls and audit evidence for standards such as HIPAA, GDPR, or SOC 2 is beneficial.

Before you apply

• Visa sponsorship is not available.

About the company

clera is a biotech AI team building data infrastructure that turns clinical, genomic, imaging, and other biomedical data into reliable, model-ready assets.