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Computational Structural Biologist

About Us

Novel therapeutics require novel methods.

ProteinQure is building a next-generation platform for the design of protein therapeutics. We partner with industry leaders in biologics drug discovery to generate novel therapeutics outside the scope of conventional procedures. Our expertise in molecular modelling, bioanalytical experiments and machine learning enables us to search across vast spaces of therapeutics, and optimize lead candidates for desired properties using a scalable computing infrastructure.

To do that, we’ve built a team defined by courage and determination. It doesn't matter whether you are inventing novel machine learning techniques, reimagining life science partnerships or designing cutting edge experiments; working with us involves having the courage to reinvent the status quo and the determination to see it through.

About You

We're looking for a Computational Structural Biologist to join our team in Toronto, Canada. You’re a scientist or engineer driven to confront challenging unsolved problems by leveraging the world’s most cutting-edge technologies. You excel in fast-paced environments. You are interested in exploring how to integrate human expertise and computational tools to design new chemical entities.


  • Develop novel drug candidates using our computational protein design platform with academic/industry partners
    • Execution of protein design workflows (structure and property prediction)
    • Data analysis and visualization for reports/presentations, delivery to partners
    • Orchestrate platform validation for retrospective and prospective applications (may involve close interaction with experimental biologists at ProteinQure/CRO)
  • Summarize and disseminate research on drug discovery targets, therapeutic modalities, and computational methodologies to guide internal drug discovery and software dev
  • Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new methods for protein design
    • Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning initiatives
    • Identification of platform limitations and development of research strategies to resolve these issues

Nice to haves:

  • Peer-reviewed publications on protein engineering, design, structure, and function
  • Experience with molecular modelling software (Rosetta, BioLuminate, MOE)
  • Confidence with molecular visualization software (PyMol, Chimera, VMD)
  • Scripting experience (Python) and knowledge of biology data formats (PDB)
  • Experience with biophysical experiments (NMR, EPR, FRET, X-ray crystallography, etc.) or measuring protein-protein interactions (SPR, ITC, phage display)


  • PhD in Biochemistry, Bioinformatics, Biophysics or similar field
  • Comfort explaining technical concepts to a diverse audience


  • A competitive mix of equity and salary
  • Unlimited vacation
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