Are you passionate about deciphering the mysteries of life through computational analysis? Do you possess a keen interest in structural biology and its implications in drug discovery and biomolecular function? We are looking for an experienced postdoctoral researcher with a strong background in modelling of proteins and their interactions, including using empirical force fields, like FoldX.
What is the project all about?
We are coordinating a large interdisciplinary project to develop a new generation of protein engineering and design tools, with the goal of designing protein-protein interactions. Our work, which aims to have a direct impact on drug discovery and has a strong valorization angle, makes strong use of the FoldX force field, and related tools, such as ModelX and TANGO. As always, our work starts with a thorough analysis of existing protein structures, to extract rules and databases of working examples, and from there implement novel design approaches.
About the lab
The SWITCH Laboratory is a leading lab in computational analysis of protein structure, and computationally guided protein engineering and design. We are an interdisciplinary workplace, bringing together more than twenty-five researchers from different backgrounds, such as bioinformatics, biophysics, chemistry and cell biology. SWITCH has a unique platform of technologies for studying protein folding and aggregation, including biophysical, ultrastructural and cell biological instrumentations. You can read more about us on our website and be sure to check out our laboratory section to explore the fantastic infrastructure that SWITCH has to offer!
The Job
Together with the PIs of the Switch Lab, you will be part of a team that is developing new tools to analyze and predict protein-protein interactions. You will be well supported on an administrative level, allowing you to focus on the science, both hands-on in the lab and analyzing data.
Responsibilities
- Utilize computational tools and techniques to model and analyze the structure and function of proteins and protein complexes.
- Employ and enhance our innovative tools for protein-ligand docking, and structure-based protein design.
- Develop and implement algorithms and pipelines for structural bioinformatics analyses.
- Collaborate with experimentalists to integrate computational and experimental data.
- Stay abreast of the latest developments in structural biology and bioinformatics.
Profile
Requirements
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Structural Biology, or related field.
- Proficiency in programming languages such as Python, R, C++, or Perl.
- Experience with molecular modeling software (e.g., FoldX, Schrödinger Suite, Rosetta).
- Strong understanding of structural biology principles and techniques.
- Excellent communication skills and ability to work collaboratively in a multidisciplinary team.
Preferred Qualifications
- Familiarity with empirical force fields
- Experience with high-performance computing clusters.
- Track record of publications in structural bioinformatics or related fields.
We offer
- A vibrant, world-class research environment operating at an international level
- Access to the resources of two host institutions:
- VIB, an excellence-based research institute
- KU Leuven, one of Europe’s leading research universities
- State-of-the-art research facilities.
- A dedicated training program to broaden your expertise and enhance your skill set.
At SWITCH we pay particular attention to the career development goals of our people and actively support the ambitions of our lab members in the lab and beyond. Information on SWITCH Lab alumni can be found here. - A competitive compensation package based on expertise and experience
Starting Date: as soon as possible
How to apply?
If you are passionate about harnessing the power of computational biology to drive scientific discovery and therapeutic innovation, we'd love to hear from you! For more information contact [email protected]. Please complete the online application procedure and include a detailed CV including list of publications, a motivation letter, and the contact information of at least two referees.