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Associate Computational Scientist- Pharmacological Sciences

Job Description - Associate Computational Scientist- Pharmacological Sciences

Description

As a member of the MSSM Scientific Computing Group, the Associate Computational Scientist works with scientists and researchers to effectively use MSSM HPC (high performance computing) clusters; assists in the research and deployment of codes on new technologies, and works with research groups to identify, implement and improve their computational and data workflow.



Responsibilities
  • Partners with scientist and research staff to efficiently and effectively use MSSM HPC clusters, to be expanded to over 10,000 cores with high bandwidth, low latency interconnects several petabytes of data storage and databases.
  • Works with research groups to help identify, implement and improve their computational and data workflow; assists in facilitating computing and data infrastructure solutions specific to MSSM researchers.
  • Participates in the research and deployment of new technologies such as GPUs, Hadoop and cloud computing.
  • Assists in optimizing researchers codes for maximum performance.
  • Troubleshoots isolates and resolves applications and other technical issues.
  • May benchmark application codes, develop regression tests and deploy application performance tools.
  • Assists in the installation and management of numerical libraries and application performance tools.
  • Participates in the development and implementation of backup policies.
  • Participates in the integration of HPC resources with laboratory equipment such as sequencers, etc.
  • Works with scientists and researchers to effectively use complementary national resources including XSEDE.
  • Helps define and deploy a comprehensive computational and data vision for MSSM researchers.
  • Assists in developing and writing proposals. Creates and provides clear documentation on all items.
  • Other relevant duties as assigned.


Qualifications
  • Masters degree or equivalent in a domain science; Ph.D. in a scientific domain preferred.
  • Beginner level, with some experience in a scientific/academic computing environment or equivalent preferred.

 



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