Company Description
Zymeworks is a publicly listed (NASDAQ:ZYME) R&D and 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. We are a global company headquartered in Vancouver, BC, with operations in Bellevue, WA, Dublin, Ireland, Singapore and Redwood City, CA. 

About the Position

We are currently looking for a Co-op Student to join our Computational Biology team, a part of our Multispecific Antibody Therapeutics. The successful candidate will be responsible for supporting computational biology and machine learning tasks related to drug discovery research. The co-op student will be involved in implementing, optimizing, and training of large-scale machine learning algorithms and language models. 

This role will be located in Vancouver, BC and is full-time onsite.

The hourly wage for this co-op position is $21.00 CAD. 

What You'll Do

• Design, implement, and optimize machine learning algorithms for the analysis of large-scale protein datasets.
• Train, validate, and fine-tune machine learning models to extract meaningful patterns and insights from biological data. 
• Implement strategies for model validation and performance evaluation.
• Work closely with cross-functional teams, including computational biologists, protein engineers and software developers, to understand biological problems and contribute to multidisciplinary projects.
• Document code, methodologies, and results comprehensively to facilitate knowledge sharing and reproducibility.
• Present findings and results to both technical and non-technical audiences, fostering effective communication and collaboration across teams.

What You'll Bring

• Bachelor’s degree or equivalent experience in computational biology, machine learning, computer science or a related field.
• Strong programming skills especially in Python and bash.
• Proven experience with machine learning frameworks (e.g., PyTorch, Scikit-Learn) and proficiency in relevant libraries.
• Experience with using large language models.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud) and distributed computing.
• Excellent problem-solving skills and the ability to translate biological questions into machine learning solutions.
• Effective communication skills and the ability to work collaboratively in a team-oriented environment.
• General knowledge about protein biochemistry is an asset.

What’s in it for you?

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.

As a Co-op Student, you’ll get to work directly with the teams to learn and contribute to creating the best-in-class therapeutics.  Our Co-op Program is designed to challenge students to think critically by actively participating in projects, and to develop professionally and personally.

Our competitive program makes your time at Zymeworks worthwhile.

What are the next steps to the process?

Apply online via the University’s co-op program process and include your resume and references with your application

All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin or disability.

NOTE TO AGENCIES:  Zymeworks values our relationships with our recruiting partners.  We only accept resumes from those partners who have been contracted with us. Zymeworks is not responsible for any fees related to resumes that are unsolicited or are received without contract.