Student or Graduate Research Assistants (SHK / WHB) to support the Core Unit Bioinformatics - CUBiMed.RUB - Bochum

Veröffentlicht am: 18.09.2026

Bezeichnung: SHK / WHB Bioinformatics
Anbieter: Medical Bioinformatics Medical Faculty Ruhr University Bochum
Internetseite des Anbieters:
Vorraussetzungen:
Einstellung ab: sofort
Einstellungsdauer: nach Absprache
Ort der Arbeitsstätte: Bochum
Entlohnung: Compensation according to the standard rates for research assistants at Ruhr University Bochum
Bewerbungsunterlagen:
Mail: sven.berres@rub.de
Telefonnummer:
Stelle an der RUB: Uni intern

To support our team, we are looking for one student assistant (SHK) or graduate research assistant with a Bachelor's degree (WHB) - depending on current student status, for 8 hours/week.

About Us
The Medical Bioinformatics group at Ruhr University Bochum investigates a wide variety of multi-omics data (genomics, transcriptomics, proteomics) as well as their integration - utilizing precision medicine approaches, diverse biomarker identification workflows, and machine learning. Parts of the group belong to the Core Unit Bioinformatics of the Faculty of Medicine - CUBiMed.RUB, which supports life science researchers with consulting, data analysis, custom software, and reproducible Nextflow workflows. For this purpose, we also have access to our own compute cluster in the RUB data center.

Your Tasks

Assisting in the development of tools, modules, and (reproducible) workflows, e.g., using Nextflow / nf-core

Supporting the evaluation and analysis of (bio)medical omics data in the context of consulting and service requests for CUBiMed.RUB

Testing, benchmarking, and documenting tools and workflows

The specific areas you focus on will be aligned with your interests and prior knowledge.

Your Profile

You should meet at least one of the following criteria:

Programming skills (Python, R, Rust, or C/C)

Basic knowledge of statistical analyses (pertaining to omics data)

Additionally, you possess curiosity, reliability, computer affinity, and an independent working style.

The following are also advantageous:

Statistical distributions/testing, False Discovery Rate (FDR), multiple testing, confounding variables in studies (confounders), statistical power

Basics of genomics, genome structure, central dogma (DNA-RNA-protein), genetic code, DNA/RNA sequencing

Knowledge in bioinformatics (transcriptomics, genomics, proteomics)

Experience with workflow systems (Nextflow, Snakemake)

Experience in handling Linux systems (SSH and terminal)
Containerization of applications