Associate Scientist, Machine Learning

Job type: Full-Time
Accepting BioReady™: No
Category: Research and Development
Employer: Zymeworks Inc.
Location: Vancouver, BC
Posted: June 10, 2021
Closes: July 10, 2021

Why Work for Us? 

Innovation. Act with Integrity. Collaboration. Embrace Diversity. Care 

We come from many countries, cultures, races, ethnicities, abilities and nationalities. We bring our passions including singing, biking, swimming, dancing, cooking, volunteering, parenting, coaching and much more! We are proud of our nearly equal balance of men and women and strengthened by our non-binary and transgender team members. Every employee belongs. 

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

Company Description

Zymeworks is a clinical-stage biopharmaceutical company dedicated to the discovery, development and commercialization of next-generation bispecific and multifunctional biotherapeutics, initially focused on the treatment of cancer.  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 looking for a highly motivated Associate Scientist, Machine Learning for protein modelling and design applications development within the Technology team. This candidate will work along with the Molecular Simulations, Bioinformatics and Software Engineering team, building comprehensive computational protein modeling and data analytics platforms for use in biologics engineering and drug discovery. We are seeking candidates with experience in developing and applying state-of-the-art machine learning algorithms to address challenges in biomolecular design and optimization. Our scientific staff have opportunities to impact the entire computational method development process, from devising the algorithms to implementation, and direct application in biologics modeling and optimization, pushing the boundaries of in silico therapeutics design. 

This is a permanent, full-time position located at our headquarters in Vancouver, BC, and will report to the Group lead of the Molecular Simulations team. 

Job Description and Responsibilities

  • Design, develop, validate and document state-of-the-art discriminative and generative deep learning algorithms for antibody and protein therapeutics engineering and optimization.
  • Leverage public databases and Zymeworks’ proprietary data as well as in-house computational infrastructure to develop scalable tools and automated workflows for biotherapeutics engineering and optimization.
  • Implement, train, test and compare various ML approaches for the problem at hand, drive to develop the most optimal and efficient algorithmic solution.
  • Work closely with protein engineers, drug developers and translational scientists to identify new opportunities, gather requirements, design and develop machine learning techniques to help advance early-stage therapeutics design processes.
  • Communicate the advantages and caveats of the developed technology to technically-diverse internal audiences and external partners.
  • Attend conferences and participate in the preparation of patents and publications. 

Qualifications

  • MS/Ph.D. in Computer Science, Statistics, Applied Math, Physics, Chemistry, Biological Sciences or a related field is required.
  • In-depth experience with modern and classical machine learning (ML) methods with 2 to 5 years of practical experience designing, training and validating such algorithms
  • Strong statistical foundation and working knowledge of supervised and unsupervised learning algorithms, in particular, graphical models like GNNs, Transformers, Boltzmann Machines, Variational Autoencoders, GANS etc.
  • Experience working with Deep Learning frameworks (e.g. TensorFlow/Keras, PyTorch)
  • Proficient in at least one of C, C++, Java, or Fortran, and proficient in a scripting language (e.g. Python, Perl, Ruby)
  • An equivalent combination of education and experience may be considered.
  • Adhere to the highest degree of professional standards and strict confidentiality on matters that require discretion.

Preferred Experience

  • Basic knowledge of molecular sciences and protein structure function relations.
  • Source-code management systems such as Git, GitHub, Bitbucket etc.
  • Algorithm parallelization, and knowledge of GPU computation and CUDA
  • Scaling ML algorithms, and hyper-parameter optimization strategies in cloud computing environments such as AWS

NOTE TO EMPLOYMENT AGENCIES: Zymeworks values our relationships with our Recruitment Partners. We will only accept resumes from those partners whom have been contracted by a member of our Human Resources team to collaborate with us. Zymeworks is not responsible for any fees related to resumes that are unsolicited or are received without contract. 
 

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