Postdoctoral or Research Scientist Positions in computational single cell & spatial transcriptomics/computational biomedicine (f/m/x)
Ludwig-Maximilians-Universität (LMU) München is recognized as one of Europe's premier academic and research institutions. The Gene Center is a central scientific institution of the LMU located in the heart of its Life Science Campus in Großhadern.
The research group of Professor Johanna Klughammer at the Gene Center, LMU Munich, Germany, offers a
Postdoctoral or Research Scientist Positions (f/m/d) in computational single cell & spatial transcriptomics / computational biomedicine
Positions are available immediately but there is some flexibility in the start date.
Our research
We are working towards improving our understanding of the regulatory landscape of cellular systems in health and disease across immunology, cancer biology, and evolution using high-dimensional molecular data (e.g. single cell and spatial transcriptomics, epigenomics). The analysis and integration of existing and new cutting-edge data sets, as well as the development of new computational tools to more efficiently and comprehensively leverage the ever-increasing wealth of data are a corner-stone of the lab’s efforts. Complementarily, we use and streamline singe-cell & spatial-transcriptomics technologies towards the efficient profiling of clinical samples and in vitro systems including organoids. You will find more information on our lab webpage.
Your qualification
- PhD in computational biology, bioinformatics, data science, physics or other related quantitative field
- Documented proficiency in the analysis and interpretation of large (high-dimensional) data-sets including reproducible workflows and adequate data management
- Solid programming skills in Python, R, or C++, as well as version control (git/github) and compute environment management (e.g. conda)
- Prior experience with next-generation sequencing data and a good understanding of omics experiments
- Good knowledge in immunology or biomedicine is a plus
- Good science communication (presentation, writing)
- Ability to work independently and collaboratively with colleagues from different disciplines
- Proactive attitude and enthusiasm for research
- Fluent written and spoken English
Our offer
You will be working in an enthusiastic, multidisciplinary team comprising computational and wet-lab scientists with an equal focus on scientific excellence and inter-personal competence. You will have the opportunity to work on and lead cutting-edge projects that involve state-of-the art single-cell and spatial transcriptomics data-sets, development of analysis strategies and tools, and ultimately the generation of biomedical insight. There is ample room to contribute and strengthen your own scientific interests as well as grow as a scientist. As part of our group at the Gene Center of the LMU you will find excellent scientific working conditions including state-of the art computational resources with access to the LRZ as well as local high-performance clusters featuring CPU and GPU resources, computational as well as biomedical expertise, and access to high-profile consortia such as the collaborative research center “Nucleic acid immunity” (https://www.trr237.uni-bonn.de/en). The position is (initially) limited to two years, with the possibility of extension. The salary is determined by experience according to the German public sector pay scale TV-L.
Your application
Please send your application consisting of a cover letter and a curriculum vitae to klughammer@genzentrum.lmu.de
The University of Munich is an equal opportunity employer. Handicapped candidates with equal qualifications will be given preference. Please note that data transmission via the internet is essentially unsecured. There is a possibility that transmitted data can be read and perhaps even falsified by unauthorized persons.
Please note that data transmission via the internet is essentially unsecured. There is a possibility that transmitted data can be read and perhaps even falsified by unauthorized persons.
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