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June 24, 2026

Bioinformatics Scientist

Senior • On-site

Research Triangle Park, NC

Axle is seeking a Bioinformatics Scientist to support research activities at the National Institutes of Health (NIH) in Research Triangle Park, NC.

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)

Position Information

This position independently provides bioinformatics and data science support to advance the institute's operational and research objectives. The role requires expertise in statistical genomics, machine learning, and scalable analysis of high-dimensional omics data, applying AI-driven methods to generate biologically meaningful insights.

Additional Qualifications

  • Ph.D. preferred (or Master's) in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative field
  • Three years of relevant experience
  • Demonstrated experience in machine learning, artificial intelligence, or advanced statistical modeling applied to biological data

Software

  • R
  • Python
  • MATLAB
  • Linux / Unix
  • Java
  • Shell / Bash / PERL
  • SAS
  • HPC
  • Git
  • Docker / Singularity / Apptainer
  • Workflow management tools

Core Technical Areas

  • Next-generation sequencing (Bulk RNA-Seq, Single Cell RNA-Seq)
  • Genome-wide association studies
  • Microarray data analysis
  • Multi-omics analysis and integration
  • Pipeline development
  • Machine learning and deep learning
  • Representation learning for omics data
  • Cloud platforms
  • Reproducible research practices
  • Data visualization

Deliverables and Responsibilities

  • Design analytical strategies and resolve scientific or technical challenges
  • Analyze and interpret high-throughput biological data
  • Develop and maintain custom analytical software, scripts, and computational pipelines
  • Establish reproducible workflows and standard operating procedures (SOPs)
  • Optimize analytical pipelines for multi-omics datasets
  • Perform preprocessing, quality control, integration, clustering, and differential expression analysis of single-cell datasets
  • Conduct analyses on ChIP-Seq, RNA-Seq, miRNA-Seq and related platforms
  • Perform genomic platform analysis including expression, exon, tiling, and promoter arrays
  • Apply machine learning approaches to integrate large-scale multi-omic data
  • Develop computational infrastructure resources for large datasets
  • Provide statistical support and develop novel analytical methods
  • Prepare scientific reports, publication-quality figures, and manuscripts
  • Present findings at meetings, seminars, and conferences
  • Train staff and provide technical support for bioinformatics tools and pipelines
  • Collaborate with interdisciplinary teams on experimental design and interpretation
  • Maintain detailed documentation and reproducible data analysis practices

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