CareerPlan

Platform Engineer, Biotech

San FranciscoFull-time$180k–$240k2026-11-06 → 2026-11-09
HybridNo visa sponsorship

Core

Design and operate secure, governed data infrastructure and production pipelines for clinical, genomic, and imaging biomedical data to support scientific and machine learning teams.

Role type

Senior Platform Engineer (Data Infrastructure & Bioinformatics)

Builds

Cloud data platforms, data warehouses, reproducible bioinformatics workflows, and training-ready datasets for ML models.

Domain

Biotechnology, Genomics, Clinical Data, Machine Learning Infrastructure

Deliverable

production ML models

Required skills

Kubernetes, Infrastructure as Code (Terraform), Python, Go, CI/CD, Cloud Data Platforms (AWS), Docker, Workflow Orchestration (Nextflow), Data Catalogs, SQL, Bioinformatics workflows

Preferred skills

GPU workloads, OMOP, FHIR, R, HIPAA/GDPR/SOC 2 compliance, Large-scale data pipelines

Technologies

Kubernetes, Terraform, AWS, Docker, Nextflow, Python, Go, SQL

Responsibilities

Build and maintain cloud data platform components (storage, lakehouse, lineage); Design and operate data warehouses for clinical and molecular data; Develop reproducible bioinformatics workflows; Implement data quality checks and visualizations; Deliver versioned datasets for model training; Operate production infrastructure (security, observability, cost optimization).