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Art des Jobs | Vollzeit | |
Eingetragen am | 08.04.2024 | |
Einsatzort | Jena |
Jobbeschreibung | Tasks: The overall responsibility of the candidate will be to establish and run computational pipelines to preprocess and integrate datasets from high-throughput experiments and perform exploratory data analysis. The candidate: - will help establish and benchmark pipelines for the preprocessing and exploratory analysis of 16S amplicon sequencing, long and short-read metagenomics, RNAseq, sc-RNAseq, proteomics, and metabolomics datasets.s - will support research data management in the lab. - will be expected to work with other computational biologists and experimentalists at the lab and institute to support collaborative projects. |
Qualifikationen | Your profile:
- PhD in computational biology, bioinformatics, computer science, biology or related fields - or candidates without PhD with exeptional hands-on experience - Experience in high-throughput data preprocessing and analysis - Experience in R, python and bash - Experience in version control - Experience in workflow management systems (e.g. nextflow, Snakemake) will be preferred - Advantageous: Experience in high throughput computing systems - Excellent written and verbal communication in English |
Firma |
Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI) 07745 Jena |
Link zu weiteren Informationen | |
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