The Computational Phenomics research group uses bioinformatics methods to study the aging process. For example, we are assembling genomes of exceptionally long-lived species to identify evolutionary adaptations that enable these species to age slowly and healthily. Furthermore, we are using multi-omics approaches to understand how environmental and social stressors accelerate aging and the development of associated diseases.

In this [DFG-funded research project][1] you will investigate (epi-)genomic differences causing mole-rats living several times as long as most other rodents, aging healthily and being extremely resistant to cancer. Furthermore, you will elucidate epigenomic changes causing reproductive mole-rats to age significantly slower than non-reproductive ones. The results shall be published in peer-reviewed journals.

Your tasks:

• Evaluation of extensive sequencing data sets (WGBS, RRBS, ATAC, RNA-seq)
• Interpretation of bioinformatic analyses in the context of aging research
• Preparation of results for publications

Your profile:

• Master’s degree in bioinformatics / computational biology or a related field, e.g., life sciences, informatics or mathematics
• Programming skills and ideally Linux command line experience
• High level of motivation, creativity, self-responsibility and self-organization

Our offerings:

• Challenging and varied tasks with a high degree of personal responsibility
• Support from and cooperation with competent colleagues
• A friendly and collegial environment
• Extensive training and further education opportunities
• Flexible working hours and the option to work from home

Additional information:

At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/

If the position is funded by third-party funds the employee has no teaching obligation.

German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en

You can find information about TVL at: https://oeffentlicher-dienst.info

Contact details for your application:

Prof. Dr. Arne Sahm, Phone: +49234 32 27936

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.

We are looking forward to receiving your application including your CV and transcript of records as soon as possible, send by e-mail to the following address: arne.sahm@rub.de.