Bioinformatics Engineer

United States·Rockvillemid

OtherEngineer

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Quick Summary

Overview

(ID: 2026-2391) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics,

Technical Tools

OtherEngineer

(ID: 2026-2391)

What We Offer

~4 min read

✓100% Medical, Dental & Vision Coverage for Employees

✓Paid Time Off and Paid Holidays

✓401K match up to 5%

✓Educational Benefits for Career Growth

✓Employee Referral Bonus

✓Flexible Spending Accounts: Healthcare (FSA)

✓Parking Reimbursement Account (PRK)

✓Dependent Care Assistant Program (DCAP)

✓Transportation Reimbursement Account (TRN)

✓Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement

✓Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types

✓Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform

✓Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs

✓Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications

✓Implement best practices for workflow versioning, containerization, testing, and documentation

✓Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems

✓Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate

✓Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)

✓3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment

✓Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts

✓Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)

✓Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)

✓Proficiency in Python and/or R for scripting, data manipulation, and tool development

✓Experience with containerization technologies (Docker, Singularity)

✓Familiarity with version control systems (Git) and CI/CD practices

✓Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)

✓PhD in a relevant field

✓Experience with nf-core pipelines and community standards

✓Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)

✓Experience optimizing cloud costs and resource utilization for large-scale genomics workloads

✓Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)

✓Experience in pharmaceutical, biotech, or regulated research environments

✓Familiarity with FAIR data principles and metadata standards

✓Opportunity to work on cutting-edge genomics projects with industry-leading pharmaceutical partners

✓Collaborative environment with experts in bioinformatics, data science, and software engineering

✓Professional development and growth opportunities

✓Competitive salary and benefits package