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To: jobs at ccl.net
Date: Mon Jan 13 21:05:23 2020
Subject: 20.01.13 Computational Structural Biologist, ProteinQure, Toronto, Canada
At ProteinQure (https://www.proteinqure.com), we are building a computational
platform for the 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 conventional chemical spaces.

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. We utilize advanced computing architectures
based on high-performance GPUs, TPUs and investigate novel methodologies in
biophysical modelling and quantum computing.

ProteinQure is a seed-stage company and has recently raised its seed
round of USD $4M led by top Silicon Valley and Canadian investors (Q2 2019).

Were looking for a Computational structural biologist to join our team in
Toronto (Canada). You should think about joining us if you want to employ
state-of-the-art techniques for discovering structure-guided insights into
protein function. Working with software engineers and data scientists, your
models will produce data and analyses of drug variants on a large scale.

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/CROs)
- 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. 

Nice to have
- Contributions to pharmaceutical R&D involving protein therapeutics 
(peptides, antibodies)
- Peer-reviewed publications on protein engineering, design, structure, and function
- Expertise with one or more molecular modelling software suites (Rosetta, 
BioLuminate/Maestro, MOE)
- Demonstrated experience with scripting/automation of scientific workflows 
(Python, cloud-based computations)
- Experience with biophysical/structural experiments (NMR, FRET, cryo-EM, 
X-ray crystallography, etc.) or measuring protein-protein interactions (BLI, ITC, 
display technologies) 

Requirements
- PhD in Biochemistry, Chemistry, Biophysics or similar field
- Comfort explaining technical concepts to a diverse audience
Apply through the following link: https://jobs.lever.co/proteinqure
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Modified: Tue Jan 14 02:05:23 2020 GMT
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