HPC-Driven Computational Biology Intern

Barcelona Supercomputing Center; Barcelona; On-site; EUR 11,000 - 17,000; Full time

Job summary

The Barcelona Supercomputing Center (BSC-CNS) invites applications for an undergraduate student in Computational Biology (R0) to work on multi-omics data analysis and disease co-occurrence studies. Based in Barcelona, the role leverages MareNostrum 5 HPC to handle large datasets with reproducible workflows and strong biological interpretation.

You will join an international, multidisciplinary team in the Computational Biology group led by ICREA Professor Alfonso Valencia, contributing to active

Qualifications

• Enrolled in a Bachelor’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, or related field.
• Basic programming skills in Python and/or R.
• Familiarity with UNIX/Linux environments.
• Understanding of bioinformatics or computational biology workflows.

Responsibilities

• Analyze and preprocess biomedical datasets, including databases, genomic and transcriptomic data.
• Develop, implement, and optimize computational pipelines and tools for disease research.
• Apply computational methods to a specific biomedical case study and generate interpretable results.
• Document and present results in internal meetings and contribute to research outputs.
• Participate in internal group meetings and other scientific discussions.

Skills

Python

R

UNIX/Linux

Bioinformatics workflows

Education

Bachelor’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences

Tools

MareNostrum 5

High-Performance Computing (HPC)

Job description

The Barcelona Supercomputing Center (BSC-CNS) invites applications for an undergraduate student in Computational Biology (R0) to work on multi-omics data analysis and disease co-occurrence studies. Based in Barcelona, the role leverages MareNostrum 5 HPC to handle large datasets with reproducible workflows and strong biological interpretation.

You will join an international, multidisciplinary team in the Computational Biology group led by ICREA Professor Alfonso Valencia, contributing to active