wiss. Mitarbeiter:in / Bioinformatiker:in bei Technische Universität Dresden

The Center for Regenerative Therapies Dresden (CRTD), an institute of the Center for Molecular
and Cellular Bioengineering (CMCB), is a research center with currently over 20 research groups.
The research focus of CRTD lies in regeneration and stem cell research from fundamental research to
clinical-translational applications in the areas of hematology/immunology, diabetes,
neurodegenerative diseases, and bone and tissue regeneration. For TUD Dresden University of
Technology diversity is an essential feature and a quality criterion of an excellent university.
Accordingly, we welcome all applicants who would like to commit themselves, their achievements and
productivity to the success of the whole institution.

At the CRTD, the Chair of Stem Cell Research with focus on cell-based approaches to
regenerative biomedicine (Prof. Dr. Michael Sieweke) offers a project position as

Research Associate / Bioinformatician (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting as soon as possible. The position is limited until March 31, 2025 with the option of extension
in follow-up projects for up to further three years. A longer-term employment is explicitly desired. The
period of employment is governed by § 2 (2) Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz - WissZeitVG).

We study how immune cells, especially macrophages, influence regeneration, aging, and cancer. In
this context we investigate how gene regulatory mechanisms and long-term epigenetic changes
control self-renewal, activation, aging and "trained immunity" (e.g., PMID: 35210623, PMID: 32169166,
PMID: 26797145). The group employs molecular, genetic, genomic, and bioinformatic analyzes in
human and mouse cells.

Your Mission: Are you a creative problem solver in bioinformatics, fascinated by important scientific
questions? Do you want to help understand how macrophages fight cancer and protect against aging?
Or what defines stemness on a molecular level? Then contribute with your expertise to the analysis
of our research projects and become part of our international team.

methods.

Requirements: university degree in bioinformatics or related subject field; profound experience in
OMICs and NGS data analysis as well as advanced knowledge in statistics (with an emphasis on SIMCA-
P and/or SPSS); sound knowledge of RNA-Seq, ATAC-Seq, ChIP-Seq, single cell RNA-Seq and -ATAC-Seq
as well as DNA methylation data analysis; sound experience in relevant software packages,
programming languages and in the Linux/Unix environment. Knowledge in using current tools for
generating pathway, single cell analysis, heatmap and multivariate analysis outputs (uMAP, tSNE, PCA,
Clusteranalyse, K-mean Clustering, etc.) are desirable. A theoretical basis in molecular biology,
sequencing technology and gene regulation is advantageous. Experience in spatial transcriptomics is
a plus. You should enjoy interaction with experimental scientists to adapt available analysis methods
to specific questions and optimize bio-informatic analysis and experimental design in a re-iterative
process.