Company Description
Zymeworks is a publicly listed (NASDAQ:ZYME) 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.
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.
Key Responsibilities
- 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.
Education And Experience
- 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.
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.
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., please visit our website at www.zymeworks.com.
How To Apply
If you are interested in this challenging opportunity, please apply via our career page. Please upload your transcript along with your resume and cover letter.