Skip to main content

Computational Postdoctoral Candidate (m/f/div) in the Field of Data Science

Max Planck Institute of Molecular Physiology
Dortmund, Nordrhein-Westfalen (DE)
accor­ding to the public service remunera­tion scheme TVöD Bund
Closing date
1 Jun 2024

View more

Job Type
Employment - Hours
Full time
Fixed term

The Max Planck Institute of Molecular Physiology in Dortmund is part of the Max Planck Society and has a focus on biomedical basic research. Here are working around 500 employees from more than 30 nations.

The Becker group at the Max Planck Institute of Molecular Physiology is looking for a


Computational Postdoctoral Candidate (m/f/div) in the Field of Data Science

to join our multi-disciplinary team to work on algorithms for mass spectrometry data analysis.

The Becker group is working in close collaboration with Johannes Köster ( at the Institute for AI in Medicine, University of Duisburg-Essen.

The Becker group ( is a young and dyna­mic team that investigates the role of genetic modi­fications in DNA and RNA. Genetic modifi­cations mo­du­late gene expression by fine-tuning transcription, RNA processing, and protein synthesis, thereby establishing multiple regulatory layers. So far, however, the exact bio­logical role of most DNA / RNA modifi­cations is largely elusive. Therefore, we are investi­gating the distribution, dynamics, and inter­depen­dencies between different epigenetic or epi­trans­ciptional modifications to uncover their func­tio­nal implications. For this we use cutting-edge methodologies likes next generation sequencing as well as mass spectrometry to analyse nucleic acids and their modifications.
We are looking for a highly motivated candidate who has recently obtained (or be about to receive) a PhD in computer / data science with a keen interest in leveraging their compu­tational expertise to address fundamental questions in biology and human health.

The ideal candidate will possess:

  • strong background in scientific programming and computational techniques
  • sharp mind: adept at problem-solving and possessing excep­tional organi­zational skills
  • independence: ability to perform data analysis autonomously
  • conceptual skills: proficiency in understanding data models and using them to represent biological concepts
  • innovative thinking: capable of devising novel solu­tions / algorithms or adapting existing ones to tackle challenges
  • team player: strong communication skills and the ability to collaborate effectively within a multi-disciplinary team are essential for success in this role

The primary objective of this role is to pioneer and maintain inno­vative computational strategies and algo­rithms, facilitating research in the lab’s core areas. This entails analysing newly generated datasets and investi­gating the potential of novel algo­rithmic, statis­tical, and machine learning solu­tions to foster the creation of new computa­tional tools. The position provides oppor­tunities for colla­boration with both internal and exter­nal scientists to analyze and inter­pret novel findings using inno­vative methods, there­by contri­buting to ongoing projects and fostering the deve­lop­ment of individual projects.

The position is available immediately and is limited to two years with the possibility of prolongation. Financial compensation will be carried out accor­ding to the public service remunera­tion scheme TVöD Bund.

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.

The Max Planck Society strives for gender equality and diversity within its workforce. Further­more, 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.

Applications should be sent (as PDF) to Applications should include a motivation letter, a recent CV, copies of your certificates, and two names for reference. The deadline for application is the April 30th, 2024.

For questions regarding the position please contact Birgit Apprecht (

Apply for Computational Postdoctoral Candidate (m/f/div) in the Field of Data Science

Fields marked with an asterisk (*) are required

Your file must be a .doc, .pdf, .docx, or .rtf. No larger than 1MB
Selected file:
Your communication preferences

When you apply for a job we will send your application to the named employer, who may contact you. By applying for a job listed on Nature Careers you agree to our terms and conditions and privacy policy. You should never be required to provide bank account details. If you are, please contact us. All emails will contain a link in the footer to enable you to unsubscribe at any time.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert