We’re looking for two highly motivated postdocs to join our interdisciplinary lab. The overarching goal of our research is to characterize general principles by which proteins self-organize in space and time. In this endeavor, we develop computational as well as experimental approaches and bridge different fields of biology, which include:

• Structural Bioinformatics and Protein Networks
• Structural Biology & Biochemistry
• Yeast Biology and Lab Automation
• Synthetic Biology and Protein Design
• Protein and Proteome Evolution
• High-throughput Confocal Microscopy

Examples of projects include the design of protein condensates with unique functions and tunable phenotypes, the creation of chaperones based on non-chaperone proteins, or characterizing protein evolution across 1,000 yeast strains.

Our lab is an outstanding place to transition from wet-to-dry or dry-to-wet work.

The ideal candidate should be curious and independent with strong analytical skills and have a Ph.D. in biological sciences (wet- and/or dry), chemistry, or physics.

If interested, get in touch by email ([email protected]), and explain your motivation to join our lab.

References:
Heidenreich et al.
Designer protein assemblies with tunable phase diagrams in living cells.
Submitted

Dubreuil et al.
Protein abundance biases the amino-acid composition of disordered regions to minimize non-functional interactions.
J. Mol. Biol.
2019.

Dubreuil et al.
YeastRGB: Comparing the abundance and localization of yeast proteins across cells and libraries.
Nucleic Acids Res.
2019

Meurer M et al.
A genome-wide resource for high-throughput genomic tagging of yeast ORFs.
Nature Methods.
2018.

Dey S et al.
PDB-wide identification of biological assemblies from conserved quaternary structure geometry.
Nature Methods
2018

Garcia-Seisdedos et al.
Proteins evolve on the edge of supramolecular self-assembly.
Nature. 2017