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Bioinformatics Analyst Three Jobs in Reston, VA (NOW HIRING)

... analysis. Responsibilities : • Evaluate existing bioinformatics pipelines for performance ... equivalent experience) • 3+ years of hands-on experience developing and maintaining ...

The ideal candidate combines deep expertise in genomics analysis methods with strong software ... * 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a ...

The ideal candidate combines deep expertise in genomics analysis methods with strong software ... * 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a ...

The ideal candidate combines deep expertise in genomics analysis methods with strong software ... * 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a ...

Minimum of three (3) years of experience working in a laboratory setting. Experience in Chromatin ... Familiarity with bioinformatic analyses of RNA-Seq, ChIP-Seq, ATAC-seq, and protein purification ...

... BSL-2/3/4), development of laboratory safety and security management systems. Strengthening ... Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or ...

Bioinformatics and Emerging Biotechnologies * Synthetic biology, gene editing (e.g., CRISPR ... Risk Assessment & Gap Analysis: Institutional and national-level analysis of biosafety/biosecurity ...

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As of Aug 8, 2026, the average hourly pay for bioinformatics analyst three in Reston, VA is $47.67, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $51.01 per hour, depending on experience, location, and employer.
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Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics workflows for high-throughput sequencing analysis.
Responsibilities:
• 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
Qualifications:
Required:
• 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)
Preferred:
• 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
Company:
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions. Founded in 2002, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.