BACKGROUND

RESPONSIBILITIES

• Manage a growing team of systems administrators in development and maintenance of HPC systems for SKI and MH researchers.
• Coordinate and direct integration and growth of HPC resources across SKI and MH in collaboration with HPC Oversight Committee. Work with MSKCC faculty to gather information about research computing requirements. Participate in or lead applications for funding to expand HPC resources.
• Provide regular reports to the HPC Oversight Committee, which includes representatives from MH and SKI and is chaired by the Director of the Computational Biology Center at MSKCC.
• Develop service models, service level agreements (SLAs), and budget and staffing proposals for HPC services provided to MSKCC researchers.
• Document HPC policies and usage practices.
• Oversee resource queuing/scheduling systems for job management on HPC resources. Work with HPC Oversight Committee to define policies that balance priorities among research groups with differing needs.
• Oversee high-performance petascale storage systems for cluster computing. Implement strategies for sharing storage space among research groups.
• Oversee large-scale archival storage for multiple data types (including raw sequencing data, analysis results, and other kinds of research and publication data), including tiered long-term storage.
• Investigate emerging technologies; research new systems, platforms, and configurations; work with vendors to specify and purchase new hardware and software; guide short and long term planning for HPC computing at MSKCC.
• Coordinate with MSKCC Information Systems on networking and security requirements.
• Ensure compliance of resources with institutional and other data policies (e.g., CLIA, HIPAA, and dbGaP).

REQUIREMENTS

• Master's degree or equivalent with 5-10 years of relevant systems administration and management experience in academic or research computing.
• Excellent interpersonal skills, with demonstrated written and oral communication facility.
• Expert knowledge of high-performance computing, particularly cluster resource management.
• Additional areas of expertise needed include clustered file systems, high-bandwidth networking, and large-scale storage archiving.
• Life-sciences background and familiarity with next-generation sequencing computational workflows, bioinformatics, and computational biology computing desired.
• Ability to work in a complex environment with a highly heterogeneous mix of hardware, software, resources, and user needs.
• Experience with GPU-accelerated computing desirable.

LOCALE

COMPENSATION

HOW TO APPLY

POLICY