The German Center for Neurodegenerative Diseases (DZNE) is a world-leading internationally oriented research center, committed to discovering new approaches to prevent and treat neurodegenerative diseases. To this end, researchers at ten DZNE sites across Germany pursue a translational and interdisciplinary strategy comprising five interconnected areas: fundamental research, clinical research, health care research, population health science, and systems medicine. www.dzne.de

Postdoctoral Researcher (f/m/x) in Systems Medicine

Code: 1106/2022/7

Healthy aging is one of the core research interests of Systems Medicine at the DZNE. A major topic is the influence of environmental factors on the aging process. To this end, we are using multi-omics data from large human cohorts to identify molecular determinants and pathways impacting major aging trajectories. This includes amongst others transcriptome data on single-cell and bulk level, metabolome data, and targeted proteomics, which we aim to interrogate using a wide array of techniques from standard bioinformatic approaches, computational modeling to machine learning approaches including swarm learning.

For more general information, please also visit the website of Systems Medicine.
https://www.dzne.de/en/research/research-areas/systems-medicine/


Your tasks

The successful candidate will lead the computational analysis to identify molecular determinants and pathways important for healthy aging and its deviations. The candidate will analyze data from human cohorts using a range of methodological approaches, including single-cell and bulk RNA sequencing analysis and the integration with other data layers, such as metabolome or proteome. Further, the candidate will develop computational models and algorithms to address the research question.

Requirements

Requirements

  • PhD in computational biology, bioinformatics, computer science, mathematics, or similar topic
  • experience in bioinformatics, computational modeling, or machine learning
  • fluency in at least one of the major programming languages (e.g. python or R)
  • very good English proficiency
  • Basic knowledge in biology and/or immunology is of advantage.
  • enthusiastic and collaborative work attitude
  • ability to work independently as well as in a team
  • participation in supervision of undergraduate and graduate students

We offer

  • A full-time postdoctoral position (39 hours per week) for an initial period of two years with possible extension
  • excellent scientific infrastructure and state-of-the-art methodologies
  • a thriving interdisciplinary research environment at the DZNE
  • fully established bioinformatics department
  • modular High-Performance-Computing
  • close collaboration with industry partners and early access to novel developments
  • Employment, payment and social benefits are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst – TVöD Bund)

You will obtain special skills and knowledge for your scientific qualification at DZNE.

Please submit your application online via: d.vinci.Link as a single pdf file, including your CV (incl. two references) and a brief cover letter (max. 1 page) stating your motivation for and prior experience relating to this offer. The employment is intended to start as soon as possible or upon agreement.

If you have further questions, please contact anna.aschenbrenner@dzne.de. Interviews will take place by video conference, with a possible on-site visit to Bonn. The position is available immediately and applications will be considered until the position is filled.

Apply here

Site

Bonn

Contact details

Dr. Anna Aschenbrenner

Working hours

full-time

Contract length

2 years, extension possible

Payment, social benefits

according to TVöD-Bund

Application deadline

September 9th, 2022

The DZNE is an equal opportunity employer. It is committed to employing disabled individuals and especially encourages them to apply. We would like to point out that as an employee (m/f/x) of the DZNE Bonn, you are subject to facility-related compulsory vaccination against the COVID-19 virus (according to § 20a of the Infection Protection Act).