Platform Bioinformatician

🏢 Clera · 📍 San Francisco · 💼 onsite · ⏰ FullTime

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Position Summary & Responsibilities

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.

🎯 Candidate Preparation Guide For Clera Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluators strictly assess your ability to translate complex health-tech data into intuitive consumer experiences while demonstrating hyper-pragmatic execution speed.

📋 Preparation Priorities (Key Areas to Clarify):

1. Dismissing regulatory compliance or data privacy as mere bureaucracy.
2. Focusing overly on flashy tech stack choices rather than patient outcomes.
3. Lacking experience scaling B2C or B2B2C products in a regulated industry.

✨ Recommended Role Alignment Hook:

I build frictionless healthcare experiences that clinicians actually want to use and patients can navigate effortlessly.

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