Mid-Level Platform Engineer, Biotech
Core
Build and operate cloud data infrastructure and reproducible bioinformatics workflows for sensitive clinical and biomedical data to enable scientists and ML engineers to access model-ready datasets.
Role type
Mid-level platform engineer (data infrastructure & bioinformatics)
Builds
Cloud data infrastructure (Kubernetes, lakehouse, warehouses), reproducible omics workflows, and versioned data/model interfaces for partner environments.
Domain
Biotech / Bioinformatics / Cloud Data Engineering
Deliverable
production ML models
Required skills
Kubernetes, Terraform, Python, Go, AWS, CI/CD, Nextflow, Docker, data quality checks, HIPAA/GDPR/SOC 2 compliance
Preferred skills
GPU/ML infrastructure, distributed training, OMOP/FHIR standards, R, SQL
Technologies
Kubernetes, Terraform, AWS, Nextflow, Docker, CI/CD tools
Responsibilities
Build and maintain cloud data infrastructure including Kubernetes clusters and object storage; Design and operate data warehouses for clinical records and molecular features; Develop reproducible bioinformatics workflows for omics data; Create data quality checks and visualizations for biological validation; Build versioned interfaces for model-training datasets; Own infrastructure reliability, observability, security, and cost optimization.
Seniority
Mid-level, hands-on IC