For the Institut of Comparative Endocrinology (CME, Vettorazzi Lab) and School of Life Sciences Weihenstephan, TU Munich (Greulich Lab) we are looking for

1 PhD Student (m/f/d) – Cellular and genomic alterations induced by long-term glucocorticoid treatment

We offer a cutting-edge, interdisciplinary research project to study the molecular effects of long-term glucocorticoid treatment in mice and men. This position entails the analysis of multiple “omics” datasets and their integration to decipher cell-type-specific glucocorticoid responses. The aim is to develop approaches for therapeutic intervention to combat adverse effects in patients undergoing glucocorticoid therapy. Through the close cooperation between computational biologists (Greulich Lab) and wet-lab scientists in the Vettorazzi Lab, any hypothesis will be directly transferred to the bench. We seek innovative, curious, and team-oriented researchers with a passion for computational biology and open science to complement our team.

Your profile:

• You are an ambitious and dynamic research personality and have a Master’s degree in Life Science, Bioinformatics, Computational Biology or a similar discipline.
• You have a strong interest in gene regulation, transcription, epigenetics and next-generation sequencing technologies.
• You have experience with experimental work in the lab.
• You have basic knowledge of R, python and bash. Previous experience in NGS data analysis is a plus.
• You are a curious and data-driven scientist that loves to develop computational tools to improve science and science communication.
• You are an independent thinker that might shape the project with his/her own ideas.
• You have team spirit and want to work at the interface of an interdisciplinary research team.

Your responsibilities:

• The position will involve the analysis and integration of multiple “omics” datasets to understand cell type-specific gene regulation.
• The successful candidate will develop hypotheses to prevent glucocorticoid adverse effects.
• The successful candidate will be involved in implementing and standardizing single-cell genomic pipelines and visualization tools.
• The successful candidate will be part of the computational team closely working with wet-lab scientists. Opportunities for wet-lab work do exist.
• The successful candidate will contribute to publications, protocols and tools for data visualization and reporting.
• The working language is English.
• Further Information:
  The position requires a certain amount of travelling between Munich and Ulm as well as research stays in both cities.
• Websites: https://www.uni-ulm.de/en/nawi/cme/research/vettorazzi-lab/ and https://www1.ls.tum.de/metabolism/research-projects/transcription/
• You have the possibility to be enrolled in the International Graduate School in Molecular Medicine Ulm (IGradU).