Atherosclerosis and its medical sequels, coronary artery disease (CAD) and stroke, are expected to become the leading cause of death worldwide by 2020. We are looking for a postdoctoral researcher with a background in bioinformatics, computational biology, systems medicine, computer science, physics, statistics or related fields to investigate the origins of atherosclerosis using a systems-level approach.
The project is part of the e:AtheroSysMed consortium, which comprises leading clinical experts on coronary artery disease (CAD) and stroke, statistical geneticists, epidemiologists and computational biologists. Through our collaborators, we have access to unique data (genotypes, transcription, mass spec, methylation) from large clinical GWA studies on CAD and stroke. We want to develop novel methods for statistical modeling and machine learning to analyze these data, integrating them with publicly available functional genomics data. The goal is to identify transcriptional subnetworks that tend to be deregulated in high-risk individuals and that could lead to novel therapeutic or diagnostic targets.
This project is financed by the German Ministry for Education and Research (BMBF) for 3 years, with the possibility of extension by two years in case of a favorable review of our e:AtheroSysMed consortium. The position is available at the earliest convenience. The salary will be according to TvöD E13 (http://oeffentlicher-dienst.info/c/t/rechner/tvoed/bund?id=tvoed-bund-2014&matrix=1).
DESIRED SKILLS AND EXPERIENCE
If you are motivated by working to improve the health and quality of life of many, if you are enthusiastic about turning data into insight, if you value a team of dedicated experts that share the same goals, if you cherish the challenge and independence that a job in research offers, if you are skilled and experienced in quantitative data analysis and programming, then we would be very interested to receive your application.
You will be part of the Computational Biology Group at the Max-Planck Institute for Biophysical Chemistry. We develop statistical and machine learning methods and software to address questions in biology and biomedicine, see http://www.soeding.genzentrum.lmu.de and https://www.mpibpc.mpg.de/de/soeding.
Please send a cover letter briefly summarizing your motivation to apply and why you would fit this project, a Curriculum Vitae, references, a list of publications and study transcripts including grades as a single pdf file to Johannes Söding, my_last_name_with_oe_for_ö@mpibpc.mpg.de
ABOUT THE EMPLOYER
The Max-Planck Society is Germany’s premier institution for fundamental research. For information about our institute, the largest one in the society, see https://www.mpibpc.mpg.de/en.
Equal Opportunity Disclaimer: The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. The Max-Planck society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals