Open Positions

​PhD Position

Our group is working on the elucidation of genetic and functional mechanisms involved in primary aldosteronism and Cushing’s syndrome derived from genome-wide association and sequencing studies from national and European patient registries. Our research program is supported by collaborative grants from the EU, SNF and others. Results have been published in high ranking journals including Nature Genetics, NEJM, Cancer Cells, and Nature Communications. Main focus of the current project is the in vivo investigation of novel mouse models of steroid hormone excess. These models will be used to evaluate the pathophysiology that results in autonomous secretion of aldosterone and cortisol and its effects on cardiovascular and metabolic endpoints.

We are seeking highly talented and motivated scientists who will plan and execute experimental research projects in the field of endocrine related hypertension. Eligible candidates for the postdoctoral position should have a solid background with mouse models, genetic and molecular biology techniques, hold a PhD or equivalent doctoral degree, and have a strong motivation and team spirit. They should have the enthusiasm and driving force to bring a scientific question to the utmost end. English skills written and spoken are mandatory. Specifically, the project will involve the following techniques:

  • phenotypic analysis of experimental in vivo models from cell-type specific transgenic mice and animals derived from a mutagenesis screen.
  • hormone assays and measurements
  • morphological analysis and immunohistochemistry
  • sequencing analysis (NGS and Sanger sequencing)
  • real-time PCR and gene expression analysis
  • systemic administration of specific antagonists/agonists
  • functional in vitro assays with primary murine and human cells

​Master Thesis Project: “Cancer Genomics of Adrenocortical Carcinoma”

Research in our group aims at developing tumor models (in vitro and in vivo), and establishing new therapeutic approaches in endocrine tumors. Our research group has been successful in developing a novel patient-derived tumor model (MUC-1), that has the potential to improve clinical prediction for ACC. As part of this project, we would now like to analyze the whole genome sequencing profiles of two adrenocortical carcinoma cell lines. These tumor models display varied molecular, biochemical and mutational signatures that closely mimics the clinical situation. Co-supervised by an experienced postdoc in the lab you will apply various bioinformatics tools and pipelines to characterize the mutations that drive cancer progression, gene amplifications, SNPs, and identify potential causative variants.