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Senior HPC Administrator, Secure HPC Platform - High Performance Computational and Data Ecosystem - Technology Specialist III - Hybrid/Onsite

Healthcare AdministrationFull timeDays
✓Requirements
Education
✓Bachelors degree in a technical discipline in computer science, engineering or related scientific field.
Master's or PhD preferred
Qualifications
8 years minimum experience (higher preferred), 12 years of related experience, including a demonstrated ability in technology area. In-depth knowledge of associated technology areas that could impact area of responsibility; healthcare technology experience preferred.
Experience with IBM LSF and GPFS Spectrum Scale. preferred
Experience in an academic or research environment. preferred
Experience with confidential computing and privacy-preserving linking of PHI. preferred
Experience with public cloud platforms (Azure, AWS, or GCP). preferred
+Benefits
✓Shift differentials
Pay for this position
Employer-posted
$113k – $202k/yr
Apply to Mount Sinai ↗
Questions about pay or the unit? Ask a Waypoint recruiter.
✓You’ll need
Education
✓Bachelors degree in a technical discipline in computer science, engineering or related scientific field.
Master's or PhD preferred
Qualifications
8 years minimum experience (higher preferred), 12 years of related experience, including a demonstrated ability in technology area. In-depth knowledge of associated technology areas that could impact area of responsibility; healthcare technology experience preferred.
Experience with IBM LSF and GPFS Spectrum Scale. preferred
Experience in an academic or research environment. preferred
Experience with confidential computing and privacy-preserving linking of PHI. preferred
Experience with public cloud platforms (Azure, AWS, or GCP). preferred
+Benefits
Shift differentials

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About the role

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team.