Postdoctoral candidate (m/f) in Computational Biology

Interested in proteins, mutations, evolution and like programming?
We are looking for motivated postdoctoral fellows (m/f) in Computational Biology for two new interdisciplinary projects in the laboratory of Dr. Agnes Toth-Petroczy.


The Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, is an international research institute focused on cell and developmental biology. Currently about 500 employees are working at the institute, where half are from abroad with 53 nations represented. MPI-CBG has twice been awarded the title “Best Place to Work” (Academia and postdocs) by the journal “The Scientist”.

Interested in proteins, mutations, evolution and like programming?

We are looking for motivated postdoctoral fellows (m/f) in Computational Biology for two new interdisciplinary projects in the laboratory of Dr. Agnes Toth-Petroczy:

1. Disordered proteins in phase transition and diseases

  • Most disordered proteins function via some structural order that is hard to find experimentally. Our lab is using evolutionary sequence information (Evolutionary Couplings method) to predict structures of disordered proteins and alternative conformations.
  • Aim: to develop EC method for proteins involved in phase transition and neurodegeneration.
  • We will ask questions, like: What are the structural constraints that guide molecules to liquid-liquid phase transition? What are the interactions between different components of membrane-less compartments?
  • The project is mainly computational, but there is option for experimental work with our collaborators, and there is option for joint position.
  • Collaborators: Anthony Hyman and Simon Alberti (MPI-CBG), Debora Marks (HMS)
  • Collaborations in structural biology: Marino Zerial (MPI-CBG), Chris Cassa (Harvard Medical School)
  • Technical skills necessary: Unix and basic programming skills


2. Phenotypic mutations and their role in evolution and diseases

  • Phenotypic mutations are two orders of magnitude more frequent then genetic mutations - they generate a large diversity of mistranslated proteins.
  • Aim: to develop a predictor for errors based on proteomics data using machine learning.
  • We will ask questions, like: Can phenotypic mutations be a source of evolutionary innovations? How does the rate of errors change with aging?
  • The project is mainly computational, but there is option for experimental work with our collaborators.
  • Collaborators: Andrej Shevchenko (MPI-CBG), Martin Denzel (MPI for Biology of Aging), Shamil Sunyaev (Harvard Medical School), Dan Tawfik (Weizmann Institute)
  • Technical skills necessary: Unix and basic programming skills
  • Advantage: experience with Mass spectrometry proteomics and machine learning


Your qualifications:
The successful candidate should have a doctoral degree and documented experience in Computer Science / Bioinformatics / Biochemistry / Biophysics / Systems Biology. The candidate should be able to interact with members of an interdisciplinary team of cell biologists, omics scientists and computer scientists in a competitive international environment and possess excellent communication and data presentation skills (English is a working language in MPI).

Our offer:
The full-time position is available immediately. The initial contract is for 2 years with possible extension. Salary and social benefits will be in accordance with the regulations of the German TVöD Bund (salary agreement for public service employees). We especially encourage women to apply.

The Max Planck Society is committed to employ more people with disabilities and actively seek their applications.

Please submit your complete application and CV including a full publication list, brief description of your research interests and accomplishments together with contact details of three referees as a single pdf file via our online application system stating Code 2018-Postdoc-new projects at
https://recruitingapp-2443.umantis.com/Vacancies/404/Application/CheckLogin/2?lang=eng

Max Planck Institute of Molecular Cell Biology and Genetics and
Center for Systems Biology

Pfotenhauerstr. 108,
01307 Dresden, Germany
www.mpi-cbg.de
www.csbdresden.de