Bioinformatics Engineer
(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: 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) 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 a...