Platform Engineer, Biotech

San Franciscofull time

On Site

$180k–$240k

H1B: no

Clera Platform Engineer, Biotech at Clera builds and operates cloud data infrastructure for biomedical data to support machine learning. The role includes developing bioinformatics pipelines and managing production infrastructure with Kubernetes and CI/CD.

Responsibilities

Join a biotech AI engineering team building and operating data infrastructure that turns clinical, genomic, imaging, and other biomedical data into reliable assets for machine learning. This hands-on role supports data workflows from ingestion and analysis through model training and deployment to partner environments.
Build and maintain cloud data platform components, including object storage, lakehouse architecture, catalogs, lineage, versioning, and access systems.
Design and operate governed data stores and releases for clinical records, molecular features, metadata, and linked datasets.
Develop reproducible bioinformatics pipelines for omics data, using containerized workflows and cloud batch compute.
Implement data quality checks, biological validation, and visualizations that help teams identify issues.
Prepare versioned, training-ready datasets and build data deployment interfaces for partner environments.
Operate production infrastructure, including Kubernetes, CI/CD, distributed workload scheduling, security, observability, reliability, and cost optimization.

Qualification

Familiarity with a major cloud providerGPU or distributed training experienceFamiliarity with OMOP

Required

Two to five years building data infrastructure and production pipelines in biotech, diagnostics, biobanking, health data, or a related setting involving sensitive biological or clinical data.
Production experience operating Kubernetes, writing infrastructure as code with Terraform or similar tools, and shipping tested Python and/or Go code.
Experience designing CI/CD and deployment systems, job orchestration, and infrastructure for machine learning workloads; GPU or distributed training experience is valuable.
Familiarity with a major cloud provider, preferably AWS, plus workflow managers such as Nextflow, lakehouse and warehouse design, data catalogs, and orchestration.
Experience with large-scale data pipelines, bioinformatics or omics data such as WGS, RNA-seq, or proteomics; familiarity with OMOP, FHIR, R, or SQL is helpful.
Understanding of compliance controls such as HIPAA, GDPR, or SOC 2, and strong engineering practices for testing, documentation, code review, and provenance.

Preferred

GPU or distributed training experience
Familiarity with OMOP, FHIR

Company

Clera

View company page

Source: ashby

Active within the past hour

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KubernetesTerraformPythonGoCI/CDNextflow

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