Computational and Data Science Research Specialist at UCSF | CA, US | Rezi

Computational and Data Science Research Specialist at UCSF

Computational and Data Science Research Specialist

UCSF · CA, US

Yesterday

Computational and Data Science Research Specialist

UCSF · CA, US

2 days ago
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About the Role

This role involves a hybrid of computational, data science, and cyber infrastructure (CI) fields, including bioinformatics, GIS, data analytics, and computational chemistry. The primary focus is on research and leveraging computational and data science technology as a tool to achieve research objectives. Responsibilities include research, design, development, analysis, operation, and support of high-performance computing (HPC) and data science research, software, tools, and hardware resources. The role also involves developing data algorithms, performing computations, statistical analyses, and interpreting research findings.

Responsibilities

  • Research, design, development, analysis, operation, and support of high performance computing (HPC) and data science research, software, tools and hardware resources.
  • Develops data algorithms and performs computations, statistical analyses, interpretation and reporting of research.
  • Develops and optimizes a variety of computational, data science, and CI research tools and components.
  • Performs research on current and future HPC, data, and CI technologies, hardware and software projects.
  • Works on algorithm development, optimization, programming, performance analysis and/or benchmarking assignments of moderate scope.

Requirements

  • Applies computational, computer science, data science and cyber infrastructure (CI) research and development principles, with relevant domain science knowledge, to perform research and technology integration and development.
  • Applies skills as a seasoned, experienced IT research professional.
  • Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects.
  • Tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

Skills

  • Bioinformatics
  • Geological Information Services (GIS)
  • Data Analytics
  • Computational Chemistry
  • Computational Science
  • Computer Science
  • Data Science
  • Cyber Infrastructure (CI)
  • High Performance Computing (HPC)
  • Algorithm Development
  • Programming
  • Performance Analysis
  • Benchmarking

Experience Level

  • Experienced professional
  • Seasoned, experienced IT research professional