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Date: Fri Aug 19 17:02:35 2016
Subject: 16.08.19 Applications Scientist, Technology Integration and Bioinformatics
Zymeworks is a fast-growing biotechnology company dedicated to the research, development and commercialization of best-in-class 
therapeutic bispecific antibodies and antibody drug conjugates for treatment of cancer and autoimmune diseases.  
Zymeworks is seeking a highly motivated Applications Scientist who is looking to grow their career with our company.


About the Position

We are seeking a scientist to join our Technology Integration group, a team of scientists with diverse backgrounds 
from the computational and biological sciences. This interdisciplinary group works with the Molecular simulations, Protein Engineering and Therapeutics R&D groups to ensure optimal usage of our in-house ZymeCAD computational platform. 
The group contributes to the design of experiments and data analysis. The Technology integration team is actively engaged in understanding the technological needs of different arms of the organization and planning for new developments. 
Beyond strong analytical skills, the ideal candidate will have a good understanding of protein engineering and drug design using in silico approaches as well as an appreciation of the typical biophysical and biological characterization methods that go into drug development.
The position reports to the Technology Integration Team Lead.

Roles and Responsibilities

Provide support in the applications of our computational platform. Work in collaboration with the algorithm developers and protein engineers to prepare and refine project specific workflows for modeling and simulation activities.
Plan, implement, and report validations of state-of-the-art computational tools developed by our team of molecular simulation scientists and software developers.
Maintain and create Standard Operating Procedures for the tools and workflows being employed for in-house research as well as by our CROs.
Work with our team of protein engineers and therapeutics R&D scientists to gather requirements for new analytical and computational tool development.
Develop scripts and procedures for the analysis of both experimental data and molecular simulations
Develop methods for design of data driven training and validation procedures for refinement and analysis of simulation protocols.
Lead (experimental) data curation activities.
Provide expertise in systematic data analysis and experimental designs

Qualifications and Experience

PhD and a minimum of 2 to 5 years of experience (may include post-doctoral experience) in Structural Biology, Physics, Chemistry, Biochemistry, or a related discipline.
Experience in utilizing Molecular Dynamics Simulations or other computational Protein Design methods to engineer proteins is required.
Strong skills in Data Analysis with experience in data visualization.
Experience with Python or any other high level scripting / programming language is required.
First hand experience in the analysis of biophysical and biochemical data derived from protein characterization assays such as DSC, SPR, LC-MS, ELISA, FACS, etc. is preferred.
Knowledge and practical experience with the structural biology and biophysical characterization of therapeutic proteins, especially antibodies, is preferred.
Experience in protein purification, characterization and other aspects of protein science would be an asset.
Excellent communication skills with fluency in written and spoken English.
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