This position is offered in collaboration with the Project Group of Dr. Simon Anders
at the Centre for Molecular Biology of the University of Heidelberg (ZMBH
). The Anders group develops bioinformatics methods for exploration of and inference on omics data.
We employ cutting edge omics techniques including single-cell transcriptomics and epigenomics, ribosome profiling and proteomics to understand how adult neural stem cells function in health and disease. The project will involve the analysis and integration of multiple types of omics data and their application on questions of stem cell biology. The candidate will not only apply existing computational tools and methods, but also develop new analysis methods where required. The successful candidate will join a highly interdisciplinary research environment with close collaboration between molecular and computational biologists.
The ideal candidate should have
- A degree in a quantitative subject such as bioinformatics, statistics, computer science or physics
- Experience in at least one programming language (R or Python, optionally C/C++)
- Previous experience with the command line on Linux or Mac
Previous expertise in working with omics data or other high-dimensional data is of advantage but not a strict requirement. Furthermore, we expect passion for science, independent thinking, fluency in written and spoken English and interdisciplinary communication skills.
We offer rewarding work on applied projects, in the stimulating research environment of Heidelberg, and in tight collaboration with both experimental as well as computational scientists, providing you the chance to gain experience in diverse research topics and so get an optimal start for your scientific career.
Researchers from all disciplines aiming at attaining a PhD, with a recently completed PhD or who are about to finish their PhD are welcome to apply. Postdoctoral candidates are expected to have a published record of achievements that would enable them to successfully apply for postdoctoral fellowships. Applicants should send a CV, letter of recommendation, a short outline of their research interests and optionally a work sample (e.g. a technical report on a project or a link to a GitHub repository).
Prof. Ana Martin-Villalba