Bioinformatics Engineer II: Multi-Omics & Cloud Pipelines

Stanford University School of Medicine; Stanford (CA); Hybrid; USD 108,002 - 128,138; Full time

Benefits offered by this job

Career development programs

Generous time-off

Health care benefits

Retirement plans

Commuter programs

Job summary

A leading medical research institution in California is looking for a Bioinformatics Engineer II to join their team. The role involves analyzing genomic, epigenomic, and transcriptomic data, and requires strong experience in various bioinformatics tools and techniques. Ideal candidates will have expertise in data integration, visualization, and software engineering best practices. This is an 18-month hybrid position offering competitive pay and excellent benefits.

Qualifications

• Strong analytical skills and excellent writing capabilities.
• Experience with MS Office and analytical programs.
• Ability to work collaboratively and prioritize workload.

Responsibilities

• Run and maintain pipelines for genome, epigenome, and transcriptome data processing.
• Architect scalable, reproducible workflows using advanced tools.
• Implement rigorous QC frameworks and integrate multi-omics data.
• Develop visualizations and interactive dashboards.
• Collaborate with scientists and data engineers on computational analyses.

Skills

Transcriptomics and Gene Expression Analysis

Advanced Genomics Data Analysis Expertise

Structural and Copy Number Variation

Epigenomics and Chromatin Accessibility Analysis

Multi-omics Data Integration

Advanced Python and R for Genomics

Genomics Workflow Development

Specialized Cloud and Database Skills

Genome Browser and Visualization Expertise

Software Engineering Best Practices

Data Governance and FAIR Principles

Cross-functional Collaboration and Communication

Education

Bachelor's degree plus three years of relevant experience

Tools

Nextflow

WDL/Cromwell

GCP

Cloud Storage

BigQuery

Job description

A leading medical research institution in California is looking for a Bioinformatics Engineer II to join their team. The role involves analyzing genomic, epigenomic, and transcriptomic data, and requires strong experience in various bioinformatics tools and techniques. Ideal candidates will have expertise in data integration, visualization, and software engineering best practices. This is an 18-month hybrid position offering competitive pay and excellent benefits.