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Clera

Platform Bioinformatician

  • Confirmed live in the last 24 hours
  • No salary listed
  • Mid level
  • Full-time
  • On-site · San Francisco
  • 5+ yrs exp
  • Added today

About this role

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/or 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.

Written by Clera. Original job post

Skills mentioned

  • AWS
  • CI/CD
  • Data Pipelines
  • Docker
  • Google Cloud
  • Kubernetes
  • Machine Learning
  • Python
  • SQL
  • Terraform
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

Industry
Technology & Software
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