(ID: 2026-2391)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the Rockville, MD.
Benefits We Offer:
Axle is seeking a skilled Bioinformatics Engineer to join our team supporting major pharmaceutical clients. In this role, you will review, assess, optimize, integrate, and extend production-grade bioinformatics workflows for high-throughput sequencing analysis. The ideal candidate combines deep expertise in genomics analysis methods with strong software engineering practices and cloud computing experience.
Key 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
Required Qualifications
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 Qualifications
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
What We Offer
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
Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: [email protected]
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Based on 1,480 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $203K (10th–90th percentile: $106K–$245K).
This posting lists $125K–$150K, below the $162K market median.
See the full Data & ML salary breakdown →