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Computing HPC Systems Administrator

Job in New York, New York County, New York, 10261, USA
Listing for: NYU Langone Health
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Systems Administrator, IT Support, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: High Performance Computing HPC Systems Administrator
Location: New York

Position Summary

We have an exciting opportunity to join our team as a High Performance Computing (HPC) Systems Administrator. The High Performance Computing (HPC) Systems Administrator will leverage technical expertise to collaborate with the HPC team, scientists, and software engineers in supporting the computational needs of world‑class researchers in both clinical and basic science at NYU Langone Health (NYULH). Reporting to the Director of the NYULH HPC Facility, the Systems Administrator will work closely with facility staff, principal investigators, research labs, core facilities, individual scientists, and students.

Primary responsibilities include system administration, system monitoring, troubleshooting, software maintenance, installations, and optimization of advanced computing systems and related infrastructure.

Job Responsibilities
  • Deploy, administer, and monitor Linux-based HPC clusters and petascale storage systems.
  • Install, maintain, and upgrade scientific software, libraries, and licensed applications.
  • Troubleshoot and resolve system, hardware, and application issues across HPC environments.
  • Develop and maintain scripts for system administration, monitoring, reporting, and data pipeline optimization.
  • Provide technical support to researchers; assist with project execution, benchmarking, and resource planning.
  • Research, deploy, and optimize resource management and scheduling systems (e.g., batch systems).
  • Evaluate and manage a helpdesk ticketing system; ensure timely resolution of user‑submitted issues.
  • Integrate HPC systems with laboratory equipment such as DNA sequencers, mass spectrometers, and cryo‑electron microscopes.
  • Implement and manage HPC security infrastructure; ensure compliance with PHI handling policies and best practices.
  • Create and maintain technical documentation and user guides. Develop and deliver training sessions and workshops on HPC usage and best practices.
  • Consult with researchers to assess computational needs and prepare resource planning reports.
  • Support grant proposal development with technical specifications for computational infrastructure.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Physics, Bioinformatics, or a related field (or equivalent experience).
  • 3+ years of experience administering Linux systems, HPC clusters, and large‑scale storage solutions.
  • Proficiency in scripting languages such as Bash, Python, or Perl for system administration and automation.
  • Experience with job scheduling systems (e.g., Slurm, PBS, LSF) and resource management tools.
  • Strong troubleshooting skills across system, hardware, network, and application layers.
  • Familiarity with scientific software installation, configuration, and maintenance.
  • Knowledge of security best practices, including the handling of Protected Health Information (PHI) in research environments.
  • Excellent communication and documentation skills; ability to support and train non‑expert users.
Preferred Qualifications
  • Experience supporting research computing in biomedical or clinical environments.
  • Familiarity with data transfer optimization tools (e.g., Globus, Aspera) and parallel file systems (e.g., GPFS, Lustre, BeeGFS).
  • Experience integrating HPC resources with laboratory instruments (e.g., DNA sequencers, mass spectrometers, microscopes).
  • Experience developing and delivering technical training, tutorials, or workshops.
  • Knowledge of grant‑writing processes and preparing computational resource justifications.
  • Experience with containerization technologies (e.g., Singularity, Docker) in HPC environments.

Qualified candidates must be able to effectively communicate with all levels of the organization.

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