Computational and Data Science Research Specialist

UCSFSan Francisco, CA
$120,000 - $155,000

About The Position

Involves a hybrid of multiple computational / data / Cyberinfrastrcture (CI) dominated fields such as, but not limited to, bioinformatics, geological information services (GIS), data analytics, and computational chemistry. 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. Responsibilities include 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. This specialty / function exists for those positions whose primary responsibility is to do research and use computational and data science technology as a tool to accomplish the research. Experienced professional who knows how to apply theory and put it into practice with in-depth understanding of the professional field; independently performs the full range of responsibilities within the function; possesses broad job knowledge; analyzes problems / issues of diverse scope and determines solutions. 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. 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 where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

Requirements

  • Computational / data / Cyberinfrastrcture (CI) dominated fields such as, bioinformatics, geological information services (GIS), data analytics, and computational chemistry.
  • Computational, computer science, data science and cyber infrastructure (CI) research and development principles.
  • Relevant domain science knowledge.
  • High performance computing (HPC) and data science research, software, tools and hardware resources.
  • Data algorithms.
  • Computations, statistical analyses, interpretation and reporting of research.
  • Professional programming concepts for medium-sized projects or portions of larger projects.
  • Optimization of computational, data science, and CI research tools and components.
  • Research on current and future HPC, data, and CI technologies, hardware and software projects.
  • Algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope.
  • Knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

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.
  • Applies 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.
  • 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 where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.
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