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Bioinformatics Scientist

Axle
CompanyAxle
CategoryScience & Research
LocationBethesda
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted28 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
(ID: 2026-1976)   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). 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 highly ambitious, adaptable, structured, and detail-oriented  Bioinformatics Scientist   to join our vibrant team at the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Intramural Research (DIR), Research Technologies Branch (RTB), Integrated Data Sciences Section (IDSS) in Bethesda, MD.    Cover Letter Required — Please Answer the Following Questions and submit application at: Bioinformatics Scientist To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered. What experience do you have working with large datasets and compute clusters? Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data. What programming languages are you comfortable using for bioinformatics data analysis? What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.) Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.   Responsibilities: Address bioinformatics, scientific computing, and data analysis needs of users within the Division of Intramural Research (DIR) at NIAID and their collaborators by lending expertise in the proper statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, statistical and scientific experimental design consulting. Provide bioinformatics support to include somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis,  de novo  assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities. Provide programming and troubleshooting support to the Research Technologies Branch (RTB) of the National Institute of Allergy and Infectious Diseases (NIAID) and collaborating Institutes in the dissemination of research data. Perform computational data analysis on genomic and clinical research data. Work with staff on scientific programming and experimental design. Provide statistical support/analysis on research data. Contribute to and co-author scientific publications in leading peer-reviewed journals. Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational,
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Bioinformatics Scientist — Axle · Job Opportunities API