PostDoc in Computational and Experimental Protein Design(m/w/x)

In this role, you will blend cutting-edge computational techniques with hands-on lab work to advance antibody engineering. Your contributions will play a vital part in drug discovery, while engaging with the scientific community and sharing findings.

Anforderungen

• •Solid understanding of protein biophysics
• •Hands-on experience with core laboratory techniques for creating protein variants, such as protein expression and purification, or eagerness to learn
• •PhD in a relevant field, such as Computational Structural Biology, Bioinformatics, Biophysics, Biochemistry, or a related field with a strong computational focus
• •Deep understanding of machine learning approaches for protein structure and property prediction, and generative models
• •Familiarity with structural modeling and design platforms for biomolecules and protein-protein interactions (e.g. MOE, Schrödinger, Rosetta, modeling and docking algorithms)
• •Fluency in English and strong oral and written communication skills
• •Solid understanding of antibody structure and/or familiarity with immune repertoire sequencing datasets
• •Hands-on experience of in vitro testing methods for antibody characterization, such as Surface Plasmon Resonance (SPR)
• •Engagement in scientific research continuously since PhD and readiness to start an RPF postdoctoral activity no later than 4 years after completing PhD