Multi-Omics in Stroke

The University Hospital Munich of the Ludwig-Maximilians University is one of the largest and most competitive university hospitals in Europe.  

The Institute for Stroke and Dementia Research (ISD) at the University Hospital, LMU Munich offers: 

PhD student / Post-Doc position (m/f/d) in Bioinformatics:

The ISD is a translational research institute that connects academic medicine, clinical research and basic science (www.isd-research.de). A major focus of our multidisciplinary research is to unravel the mechanisms that underlie the development and progression of cerebrovascular disease by integrating findings from in vivo biomarkers, neuroimaging, clinical and genetic data.

Description:

The interdisciplinary position is intended to bridge the gap between bioinformatics, experimental, and clinical research. A key element will be the development of processing pipelines to integrate omics datasets including genomic, transcriptomic, proteomic, and metabolomic data with deep clinical phenotyping and to perform interactome and cluster analyses. Methods development and data analyses will primarily leverage data from the ongoing in-house CIRCULAS cohort (e.g. Tiedt et al., Circ Res, 2017; Tiedt et al., Ann Neurol, 2020) but also from experimental studies with the ultimate goal to better understand human stroke pathophysiology and to identify biomarker signatures. A second major focus will be the analysis of circadian and diurnal rhythms in the context of stroke to improve our understanding of how daytime shapes our body’s response to acute diseases.

Your profile:    

The ideal candidate should hold a MSc degree or PhD degree in bioinformatics or related fields. The candidate should have (extensive) experience in programming (e.g. R, Python, Matlab), the analyses of omics data (with a particular focus on proteomics and metabolomics) and (ideally) of longitudinal data (e.g. circadian rhythmicity). Ideally, the candidate would be experienced in using MaxQuant and Perseus and in the application of machine learning methods, mixed models, clustering techniques, sinusoidal regression, and regression splines. Medical background and knowledge of biochemical processes is a plus. Suitable candidates should be highly motivated, have a high-degree of technical expertise, problem solving skills and scientific independence, with an interest in bioinformatics and methods development in a clinically oriented research setting.

We offer:          

The position will be in the molecular biomarker group (PI: S. Tiedt, http://tiedt-lab.isd-muc.de) of the ISD in an international, dynamic and “open-door” atmosphere. The applicant will have unrestricted access to the deeply phenotyped CIRCULAS dataset and multi-center national and international datasets on cerebrovascular disease. We offer unrestricted access to cutting-edge research tools including an in-house high-performance computing cluster and to the HPC at the LRZ Munich. The applicant will be able to leverage existing collaborations such as with Jürgen Cox (MPI of Biochemistry) and work in an interdisciplinary and multinational group of experienced PhD students, Postdocs, physicians, and technicians. Salary will be according to TV-L. The position is limited to two years, extension is desired. The Ludwig-Maximilians University is an equal opportunity employer. Individuals of all nationalities, genders, ages, and those with disabilities are encouraged to apply. We give priority to applicants with a disability and essentially equal qualifications. 

Interested candidates should submit their complete application documents (including CV, publication list, motivation letter, proof of completed MSc/PhD, names/contact information for three references and transcripts within a single PDF file) via email to: 

E-Mail: [Email Address Removed]

Steffen Tiedt, MD PhD

Klinikum der Universität München 

Institute for Stroke and Dementia Research 

Feodor-Lynen-Str. 17 

81377 Munich 

Germany