(ID: 2026-1832)
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 Biologist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute on Aging (NIA) located in Baltimore, MD.
Benefits We Offer:
Position Information:
The National Institutes of Health requires contractor support for laboratory and computational analysis of genomic and epigenomic data. The work supports ongoing research involving genotyping, long-range sequencing, and DNA methylation profiling.
Deliverables:
Sample Processing Logs DNA extraction records and yields - Ad-Hoc
Genotyping/Sequencing Outputs Raw and processed data files - Ad-Hoc
QC Reports Standardized quality metrics and summaries - Ad-Hoc
Analysis Outputs Variant and methylation results, visualizations - Ad-Hoc
Scripts and Code Documented R/Python/Bash scripts - Ad-Hoc
Monthly Summary Summary of work performed and findings - Monthly
Presentation Materials Slides or briefings for NIH staff - Ad-Hoc
Statement of Work Details:
Provides technical experience needed to assist in studying the basic principles of plant and animal life.
Evaluate: Read quality, coverage, and depth and Sample integrity and contamination.
Flag anomalies and provide preliminary interpretation.
Assists with performing basic laboratory experiments and procedures.
Perform DNA methylation assays (e.g., bisulfite conversion, array-based or sequencing-based methods).
Execute established QC pipelines for sequencing and genotyping data.
Compile and document QC metrics in standardized formats.
Modify existing scripts and pipelines to support project needs.
Perform data analysis using: R (statistical analysis and visualization) and Scripting (Python, Bash, or equivalent).
Conduct: Variant calling and basic annotation and DNA methylation data processing and analysis and Data integration across datasets when directed Prepares, organizes and maintains various lab samples, supplies, and equipment.
Maintain accurate laboratory notebooks and electronic records.
Learns new laboratory techniques and procedures.
Identify routine technical issues and implement standard troubleshooting steps.
Prepare: Summary tables and figures and Written summaries of methods and results.
Present findings in internal meetings to NIH staff- Contribute to draft reports, manuscripts, or project updates.
Certifications & Licenses
Master's with 2 plus years experience
Field of Study
Biology
Software
Proficiency in R and at least one scripting language
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