• Research Computing Specialist

    Posting Date 2 months ago(5/8/2018 6:45 PM)
    Job ID
    2018-11008
    Campus
    Einstein/Resnick - Bronx
    Employee Classification
    Exempt
    Department
    Shared Scientific Resources
    Position Type
    Regular Full-Time
  • ABOUT US

    Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows.

     

    Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH).

     

    Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually.

     

    The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.

    POSITION RESPONSIBILITIES

    This position is responsible for working with graduate students, research fellows, faculty, and other researchers to enable and support scientific research and teaching activities requiring substantial computational resources. The person in this role is responsible for providing support for the proper use of the centralized High Performance Compute Cluster (HPC) and related resources. 

     

    Job Responsibilities

     

    Customer Support: Consults with faculty research groups to address their research computing needs and helps researchers by suggesting areas of optimization in their job submission procedures in order to successfully meet their high performance computing goals. Respond to tickets which include complaints, requests, troubleshooting, etc.

     

    Responsible for the creation, organization, presentation and delivery of training materials for both new and highly experienced users of the research clusters to groups or individuals as needed. Topics might include, for example, parallel computing or GPU computing. Provide outreach to create awareness with faculty, students, and others about partner HPC services.

     

    Operations: Plan and orchestrate software maintenance on both the clusters and the cluster infrastructure as needed. This includes, but is not limited to, installing and managing various commercial and open source scientific codes, libraries, or applications. Perform benchmarks for both cluster hardware and software performance and monitor server performance and network connectivity.

    QUALIFICATIONS

    Minimum qualifications are a Bachelor's degree in a Science or Engineering discipline that requires strong analytical and computational skills and at least three years of experience working on computational research projects utilizing large and complex HPC systems.  Preferred candidates will have an advanced degree in an Engineering or Science discipline with experience in running scientific software in a university HPC setting.

     

    Competencies:

    • Experience with High Performance Computing environments (HPC)
    • Knowledge of automated scheduling and load balancing of process requests (e.g. Univa Grid Engine)
    • Linux scripting, Perl, Python skills
    • Experience with programming languages (e.g. C++, C#, or Java) and/or parallel interfaces, such as MPI code
    • Familiarity with protocols including TCP/IP, SSH, DNS, SMTP, and HTTP
    • Skilled in creating documentation and Standard Operating Procedures (SOP)
    • The position requires excellent verbal and written communication skills because of its highly collaborative nature

     

    Other competencies that are a plus:

    • Working knowledge of configuring and building scientific software applications using Makefiles
    • Basic knowledge of any of the following: scripting skills (e.g. bash), Python, MATLAB, R
    • Training, education and professional development opportunities are available and encouraged
    • Some exposure to relational databases (e.g. MySQL) and data management
    • Experience with parallel file systems and storage protocols
    • Experience with Penguin Computing, Dell HPC hardware, Scyld Integrated Management Framework
    • Some familiarity with bioinformatics programs and applications

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