Bioinformatician / Computational Biologist (m/f/d)

The Institute for Clinical Chemistry and Laboratory Medicine at the University Hospital Dresden is seeking to appoint a Bioinformatician / Computational Biologist (m/f/d) at the earliest possible date. The position focuses on the analysis and integration of complex omics datasets and Omics Data Analysis and Multi-Omics Integration in Translational Researchin translational research projects with close links to clinical diagnostics.

• Analysis, integration, and interpretation of high-dimensional omics datasets in translational research
• Bioinformatic analysis of:
• Bulk RNA sequencing
• Single-cell and single-nucleus RNA sequencing
• CITE-seq
• ATAC-seq
• NGS-based datasets
• Metabolomics and proteomics data
• Development, extension, and maintenance of robust and reproducible analysis pipelines, including quality control, normalization, annotation, and statistical analysis
• Multi-omics integration (e.g. transcriptomics, epigenomics, metabolomics, proteomics) to derive biologically and clinically meaningful insights
• Close collaboration with experimental scientists, clinicians, and diagnostic partners
• Support in the methodological implementation of bioinformatic workflows in translational and, where applicable, clinically oriented settings
• Contribution to scientific publications, third-party funding applications, and presentations

• A completed university degree with a PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, Molecular Medicine, or a related discipline
• Proven hands-on experience in the analysis of omics datasets, in particular:
• Bulk and single-cell RNA-seq
• CITE-seq and/or ATAC-seq
• Ideally metabolomics and/or proteomics
• Excellent programming skills in R, including experience with relevant Bioconductor frameworks (e.g. Seurat, SingleCellExperiment, edgeR, DESeq2)
• Good to very good knowledge of Python (e.g. Scanpy, Pandas, NumPy, SciPy)
• Experience in developing, extending, and documenting reproducible analysis pipelines (e.g. using Snakemake, Nextflow, Git)
• Solid understanding of statistical methods, data integration strategies, and visualization of complex datasets
• A structured, independent working style combined with strong communication and teamwork skills
• Strong interest in translational research and the application of bioinformatics methods in a medical context

Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Dresden

• Participation in highly relevant scientific projects in the area of chronic inflammatory diseases and cancer research
• An interdisciplinary environment with close interaction with clinical partners
• Modern IT and data analysis infrastructure
• Opportunities for scientific career development, including habilitation
• Comprehensive occupational health and fitness programs (Carus Vital)
• Extensive professional training and development opportunities through the Carus Academy
• Occupational pension scheme
• Job ticket for public transportation in Dresden and the surrounding area