Platform Bioinformatician

Clera; San Francisco (CA); On-site; USD 190,000 - 240,000; Full time

Job summary

Clera is building a cloud data platform that turns clinical, genomic, imaging, and other biomedical data into model-ready assets. You’ll join a cross-functional team handling platform engineering, data infrastructure, and bioinformatics workflows to support internal teams and external partners.

The role emphasizes production AWS/GCP environments, Kubernetes, Terraform, and scalable pipelines with a focus on reliability, security, and cost efficiency.

Qualifications

• 5+ years of platform, infrastructure, or site reliability engineering experience.
• Deep AWS or GCP experience with production Kubernetes.
• Production programming in Python or Go.
• Experience designing CI/CD pipelines and deployment systems.
• Experience building job orchestration for distributed workloads.
• Familiarity with biological/clinical data pipelines; Nextflow or similar workflow managers is a plus.
• Knowledge of data catalogs, lakehouse/warehouse design, Docker, and cloud batch compute is relevant.

Responsibilities

• Build and operate cloud data infrastructure including storage, lakehouse, catalogs and access layers.
• Design and maintain governed data warehouses for clinical records and metadata.
• Develop reproducible omics pipelines (WGS, RNA, proteomics) with containerized workflows.
• Implement data quality checks and biological validation across processing steps.
• Prepare training-ready dataset releases and data deployment interfaces for models.
• Operate production cloud infra, Kubernetes clusters, CI/CD, and distributed workload orchestration with reliability and cost awareness.

Skills

Cloud infrastructure

Kubernetes

Terraform

Python

Go

CI/CD pipelines

Data pipelines

Security

Observability

Tools

Terraform

Kubernetes

Docker

Nextflow

Job description

About the Role

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.

What You'll Do

• 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.

What We're Looking For

• 5+ years of experience in platform, infrastructure, or site reliability engineering, including operating cloud infrastructure in a high‑growth startup or technically demanding environment.

• Deep AWS or GCP experience, including production Kubernetes, and experience with Terraform or similar infrastructure‑as‑code tools.

• Production programming experience in Python and/ou Go, plus experience designing CI/CD pipelines and deployment systems.

• Experience building job orchestration or scheduling systems for distributed workloads; GPU or machine learning infrastructure experience is a plus.

• Familiarity with biological, clinical, or other sensitive data and production data pipelines. Experience with Nextflow or similar workflow managers, lakehouse and warehouse design, data catalogs, Docker, and cloud batch compute is relevant.

• Python, R, SQL, and familiarity with standards such as OMOP or FHIR are useful.

Compensation & Benefits

Visa sponsorship is not available.

Location

On‑site in San Francisco, California, United States.