Staff Scientist - Genomics

About this role

(ID: 2026-3178)

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)

Position Summary

The Staff Scientist (Genomics) provides scientific and technical support for next-generation sequencing (NGS) projects in a shared genomics or research support environment. The incumbent applies foundational expertise in Illumina sequencing, RNA-sequencing (RNA-seq), and single-cell genomics to support intramural research programs. Under the guidance of senior scientists, the employee contributes to experimental design, laboratory workflows, data generation, technology enhancement, and quality control while ensuring compliance with federal safety, security, and data management standards.

Major Duties and Responsibilities

• Performs next-generation sequencing library preparation and sequencing using Illumina platforms, following established standard operating procedures (SOPs).

• Conducts RNA-seq and single-cell sequencing workflows, including sample preparation, library construction, sequencing setup, and post-run quality assessment.

• Performs nucleic acid extractions from diverse biological samples, including tissues, cells, and bacterial cultures.

• Supports project intake, sample tracking, and data documentation using laboratory information management systems (LIMS) and electronic lab notebooks.

• Assists with basic downstream data quality control and interpretation in collaboration with bioinformatics staff.

• Maintains accurate record