Lead Scientific Imaging Systems Engineer

axle· Professional Services
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📍 Rockville, MD💰 USD 120K–145K

About this role

(ID: 2026-3437)
 
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)

We are seeking a Lead Scientific Imaging Systems Engineer to own our Signals Image Artist platform infrastructure end to end — across Linux server administration, GPU/HPC infrastructure, storage, and vendor-facing upgrade planning. You will manage a multi-server SImA deployment, lead its ongoing standardization and upgrade to current vendor-supported versions, and enable advanced imaging analysis capabilities (including AI-based analysis modules and GPU-accelerated workflows) for research teams who depend on it daily.

Required Skills:

  • Systems Administration Expertise: Extensive hands-on experience administering Linux servers and workstations in a production research or enterprise setting, including SLES and/or RHEL.

  • Image Artist / Scientific Imaging Platform Experience: Direct experience installing, upgrading, and supporting Signals Image Artist or comparable high-content imaging analysis platforms, including client/server version management.

  • GPU & HPC Proficiency: Working knowledge of NVIDIA/CUDA driver stacks, GPU hardware troubleshooting, and HPC scheduling concepts.

  • Storage & Networking Fundamentals: Experience with enterprise storage protocols and diagnosing storage/network connectivity issues on production servers.

  • Vendor Support Management: Demonstrated ability to open, manage, and resolve technical issues through formal vendor support channels (hardware and software vendors alike).

  • A Reliability Mindset: A disciplined, documentation-driven approach to change management — staged upgrade paths, risk assessments, and rollback planning before touching production systems.

Responsibilities:

  • Standardization – Assess and align server configurations and Image Artist deployments across all sites to establish consistent, well-documented production/dev environments and baselines.

  • Upgrade Leadership – Plan and execute vendor-supported Image Artist upgrades (server + client side), working directly with vendors to resolve blockers and documenting the risk/benefit case for each release.

  • GPU/HPC Infrastructure – Install, configure, and troubleshoot NVIDIA/CUDA driver stacks and GPU compute nodes, resolving compatibility issues and supporting HPC cluster integration.

  • AI/Advanced Imaging Enablement – Support rollout of AI-based analysis tools (e.g., Phenologic AI) and benchmark performance across GPU vs. non-GPU setups.

  • Data Migration & Storage – Lead large-scale data migrations between environments, including iSCSI/LUN troubleshooting and NetApp storage connectivity, minimizing downtime/data loss.

  • Security & Compliance – Apply OS patches, endpoint protection updates, and vendor mitigations fleet-wide to maintain supportable states.

  • Vendor/Stakeholder Management – Own support tickets and escalations; act as the technical liaison for platform status and upgrade planning.

  • Documentation & Reporting – Maintain runbooks, upgrade documentation, and equipment inventories; deliver regular status reports on platform health and progress.

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: [email protected]

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

Salary Range
$120,000—$145,000 USD

Frequently Asked Questions

What is the salary for the Lead Scientific Imaging Systems Engineer role at axle?
The listed salary for this Lead Scientific Imaging Systems Engineer position at axle is USD 120K–145K. This is an full-time role.
Where is the Lead Scientific Imaging Systems Engineer position at axle located?
This Lead Scientific Imaging Systems Engineer role at axle is based in Rockville, MD. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Lead Scientific Imaging Systems Engineer at axle belong to?
This Lead Scientific Imaging Systems Engineer position is part of the Professional Services department at axle. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Lead Scientific Imaging Systems Engineer position at axle?
Click the "Apply Now" button on this page. You will be redirected to axle's official application portal hosted on greenhouse where you can submit your application directly.
When was the Lead Scientific Imaging Systems Engineer job at axle posted?
This Lead Scientific Imaging Systems Engineer position at axle was posted on Sep 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Lead Scientific Imaging Systems Engineer
axle · 💰 USD 120K–145K
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