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At ProteinQure, we are building a computational platform for design of protein therapeutics. Our mission is to help to create a world where drugs are engineered, not discovered. We work on treatments for cancer, diabetes, asthma, and cardiovascular diseases, among others, and partner with industry leaders in drug discovery to generate novel therapeutics outside of the conventional chemical space.

Our technology combines computational biophysical models with statistical and machine learning approaches to enable us to search across vast spaces of protein therapeutics. We build and deploy these computational modules using a scalable cloud computing infrastructure and complement their predictions with results from wet lab experiments.

Responsibilities:

• Develop novel drug candidates using our computational protein design platform with academic and 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 development.
• 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.

Requirements:

• PhD (or 2+ years experience) in Biochemistry, Bioinformatics, Biophysics or similar field
• Comfort explaining technical concepts to a diverse audience
• Peer-reviewed publications on protein engineering, design, structure and function OR Case studies from time in industry

Nice to haves:

• 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)