R Data Analysis Tools Engineer for HPC (Flexible Hours)

Barcelona Supercomputing Center

Madrid

Presencial

EUR 45.000 - 65.000

Jornada completa

Hace 4 días
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Descripción de la vacante

The Barcelona Supercomputing Center (BSC-CNS) invites applications for the position of Research engineer - R data analysis tools developer (RE2) in the Earth Sciences Department. This full-time role focuses on coordinating R-based tools and supporting deployment in a high-performance computing setting.

Ideal candidates will have a Bachelor's in a related field, strong R skills, climate data formats experience, and English fluency.

Formación

  • Education: Bachelor in Computer Science, Telecommunications, Mathematics, Physics or related discipline.
  • Excellent skills in R or similar languages.
  • Knowledge of climate data formats (GRIB, NetCDF).
  • Experience with UNIX/LINUX environments and scripting languages (bash, etc).
  • Previous experience in HPC architecture and parallel programming will be valued.
  • Good programming skills to manage big and collaborative projects and experience with git.
  • Fluency in English, both speaking and writing.

Responsabilidades

  • To coordinate developments of Department R tools, in close relation with the users, giving them the appropriate support with the use of them within a High-Performance Computing environment.
  • To contribute to the deployment and installation of the packages in the shared department environment.
  • To contribute to the ongoing strategy for the development of the Earth Sciences Department tools.

Conocimientos

R
UNIX/Linux
Bash scripting
Git
HPC architecture
Climate data formats
English

Educación

Bachelor in Computer Science or related discipline

Herramientas

Git

Descripción del empleo

The Barcelona Supercomputing Center (BSC-CNS) invites applications for the position of Research engineer - R data analysis tools developer (RE2) in the Earth Sciences Department. This full-time role focuses on coordinating R-based tools and supporting deployment in a high-performance computing setting.

Ideal candidates will have a Bachelor's in a related field, strong R skills, climate data formats experience, and English fluency.

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