Job ID:
Job date: 2014-10-03
End Date:
Company : Memorial Sloan Kettering Country : Role : Research Scientist
Job date: 2014-10-03
End Date:
Company : Memorial Sloan Kettering Country : Role : Research Scientist
Job Description:
Memorial Sloan Kettering (MSK) is a world renowned organization dedicated to the progressive control and cure of cancer through programs of patient care, research, and education. The Director of High Performance Computing (HPC) at MSK will manage and develop advanced computational resources and services to meet the research computing needs of both the Sloan Kettering Institute (SKI) and Memorial Hospital (MH). The HPC Director will be responsible for planning, designing, implementing, managing, integrating, and maintaining HPC resources across SKI and MH, and will also keep abreast of emerging technologies that may benefit HPC computing research and applications at MSK. The HPC Director will report to the Director of the MSK Computational Biology Center and coordinate with the HPC Oversight Committee and researchers within MSK. Responsibilities include but are not limited to:
Additional Info:
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Memorial Sloan Kettering (MSK) is a world renowned organization dedicated to the progressive control and cure of cancer through programs of patient care, research, and education. The Director of High Performance Computing (HPC) at MSK will manage and develop advanced computational resources and services to meet the research computing needs of both the Sloan Kettering Institute (SKI) and Memorial Hospital (MH). The HPC Director will be responsible for planning, designing, implementing, managing, integrating, and maintaining HPC resources across SKI and MH, and will also keep abreast of emerging technologies that may benefit HPC computing research and applications at MSK. The HPC Director will report to the Director of the MSK Computational Biology Center and coordinate with the HPC Oversight Committee and researchers within MSK. Responsibilities include but are not limited to:
- Manage a growing team of systems administrators in development and maintenance of HPC and other server 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 MSK faculty to gather information about research computing requirements. Participate in or lead applications for funding to expand HPC resources.
- Manage and coordinate the administration of several web-based application systems.
- 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 MSK.
- Develop service models, service level agreements (SLAs), and budget and staffing proposals for HPC services provided to MSK researchers.
- Manage and coordinate the administration of the departmental mail and web servers.
- 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 computing (HPC and web application) at MSK.
- Coordinate with MSK Information Systems on networking and security requirements.
- Ensure compliance of resources with institutional and other data policies (e.g.,CLIA, HIPAA, and dbGaP).
- 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 ability.
- 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.
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