Job: Postdoc in Computational RNA Biology, Epitranscriptomics, Heidelberg, Germany
1
gravatar for Tobias Jakobi
12 months ago by
Germany
Tobias Jakobi20 wrote:

The Heidelberg University Hospital is one of the most important medical centers in Germany and stands for the development of innovative diagnostics and therapies as well as their rapid implementation for the patient. With approximately 10,000 employees in more than 50 clinical specialist departments with approximately 1,900 beds, around 66,000 patients are treated on an outpatient basis or 1,000,000 times on an outpatient basis.

The division of Bioinformatics and Systems Cardiology at the Klaus Tschira Institute for Integrative Computational Cardiology / Department of Internal Medicine III, seeks to fill two full-time positions:

Postdoc in Computational RNA Biology (Epitranscriptomics, m/f)

Starting date: as soon as possible / Duration: Initially 2 years; option of further extension.

All successful applicants will enter a collaborative research environment focusing on the role of RNA in cardiac disorders. The flow of genetic information from DNA to proteins has been traditionally seen as a linear pathway with an RNA intermediate. However, instead of just being an inert carrier of information, RNA performs a multitude of tasks and may even be transformed in the course of these events. We are looking for talented investigators to work on different aspects of the complex life of RNA and how it integrates with other processes within the cell and beyond.

Tasks

You will implement existing and develop new bioinformatics methods to analyze RT signatures in Illumina (e.g. https://github.com/dieterich-lab/JACUSA) data and to mine Oxford Nanopore sequencing traces (e.g. https://github.com/nanoporetech/tombo) with the purpose of RNA modification detection and quantitation. You will devise new ways to integrate single molecule with miCLIP (near-base resolution) and LAIC-seq (transcript resolution) data. You will also closely interact with our experts on RNA turnover dynamics and ribosome profiling.

Required Qualifications

The ideal candidates will have a PhD or equivalent in Bioinformatics, Physics, Statistics or a related discipline. You offer solid expertise in handling high-throughput data sets and are fully competent in managing the underlying statistical challenges. Moreover, you are happy to work in a highly interdisciplinary team. A proven competence in scripting/programming (i.e. at least two out of C/C++, R, Python, Java) is essential. Other relevant qualifications include a good understanding of RNA Biology.

What we offer

The Dieterich Lab www.dieterichlab.org) offers a stimulating, diverse and international research environment. We are embedded in a vibrant community of cardiovascular research labs and collaborate with many experimentally or theoretically oriented labs in the Heidelberg area. Additionally we offer:

  • individual, goal-oriented further education
  • ticket for public transport
  • Kindergarten as well as holiday organization for schoolchildren
  • Help with finding a flat
  • Health promotion
  • University sports / Library access

Contact & Application

Please upload a covering letter/supporting statement, including a brief statement of research interests, CV and the details of two referees as part of your online application. Applications should be sent by email in ONE pdf-file to sekretariat.dieterich@med.uni-heidelberg.de Please do not hesitate to contact us if you have any further questions.

University Hospital Heidelberg Department of Internal Medicine III
Section of Bioinformatics & Systems Cardiology
Prof. Dr. rer. nat. Christoph Dieterich
Im Neuenheimer Feld 669 69120 Heidelberg
sekretariat.dieterich@med.uni-heidelberg.de

We stand for equal opportunities. Severely handicapped persons with equal aptitude are given priority employment. The University Hospital strives for a general increase in the proportion of women in all areas and positions in which women are underrepresented. Qualified women are therefore particularly encouraged to apply. Full-time positions are generally divisible unless there are official or legal reasons to the contrary.

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