Scientist, Molecular Simulations

Vancouver, British Columbia (CA)
July 24 2019
Position Type
Full Time
Organization Type

Zymeworks is a clinical-stage biopharmaceutical company dedicated to the discovery, development and commercialization of next-generation bispecific and multifunctional biotherapeutics.  Zymeworks’ suite of complementary therapeutic platforms and its fully-integrated drug development engine provide the flexibility and compatibility to precisely engineer and develop highly-differentiated product candidates.

Zymeworks is seeking a highly-motivated professional who is looking to grow their career with our company.

About the Position

Zymeworks is looking for a highly motivated (Senior) Scientist who has interest in building comprehensive computational protein modeling and data analytics platforms for use in biologics engineering and drug discovery.  Our Scientists have opportunities to impact the entire computational method development process, from devising the algorithms, through coding the implementation, to direct application in biologic modeling and design, along with pushing the boundaries of computational protein modeling. 

The position will report to the Principal Scientist & Group Lead, Molecular Simulations and will be based in Vancouver, BC.

Key Responsibilities

  • Develops, validates, and documents software that implements protein modelling and optimization methods
  • Develops and applies data analysis, data mining, and machine learning methods for protein engineering
  • Works closely with protein engineers and translation scientists to recognize opportunities and development areas for computational techniques in the drug design and discovery process
  • Collaborates with protein engineering and therapeutic development teams to effectively apply protein engineering and data analysis software for lead optimization
  • Collaborates with external industrial and academic partners
  • Attends conferences and participate in the preparation of patents and publications

Qualifications & Experience

  • A Ph.D. in Physics, Chemistry, Applied Math, Computer Science or a related field and a minimum of 2 years of industry experience or 5 years of post-doctoral experience
  • Proven interpersonal skills with the ability to work collaboratively as a member of cross-functional team. Ability to establish and maintain effective working relationships
  • Method development experience in any of the following areas: Fragment assembly, homology modeling, or other protein structure prediction techniques, force field/potential development, protein structure optimization, antibody modeling
  • Experience developing and applying MD/MC based enhanced sampling techniques (ie REMD, simulated tempering, metadynamics, multi-scale modeling etc.) in the context of protein modeling
  • Proficient in at least one of C, C++, Java, or Fortran, and proficient in a scripting language (eg Python, Perl, Ruby)
  • Highly motivated with an exceptional interest in the development and application of modeling, data mining, and simulation methods for drug discovery
  • Strong background in protein science and biochemistry
  • Fluent in written and spoken English

Preferred Experience

  • Optimizing numerically intensive code
  • Implementing and applying machine learning methods to protein modeling problems.  Areas of interest include: clustering methods and other unsupervised learning techniques (eg SOMs, kernel PCA, ICA), regression and classification methods (eg random forests, Gaussian process regression, GBMs)

Why Work for Us?

Zymeworks’ employees are passionate, engaged and extremely motivated to succeed. We are excited by the cutting-edge science and technology, the endless possibilities this union holds and the sheer opportunity to be a part of something big. To learn more about Zymeworks Inc. and our current openings, please visit our website at

We offer challenging career opportunities, competitive benefits and an environment that recognizes and rewards performance.

How to Apply

If you’re interested in this challenging opportunity, please apply online at  Due to the high volume of applicants, only those selected for interviews will be contacted.