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Co-op Student, Computational Biology and Software Development

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Zymeworks Inc.

Sep 9, 2024

Applications are closed

  • Internship
    Full-time
    Placement Program
  • Science
    Data
  • Vancouver

Requirements

  • 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.

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.

FAQs

What is the hourly wage for the Co-op Student position?

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

Where is the position located?

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

What are the key responsibilities of the Co-op Student?

The Co-op Student will design, implement, and optimize machine learning algorithms for large-scale protein datasets, train and fine-tune models, collaborate with cross-functional teams, document methodologies, and present findings.

What educational background is required for this position?

A Bachelor’s degree or equivalent experience in computational biology, machine learning, computer science, or a related field is required.

What programming languages are necessary for this role?

Strong programming skills in Python and bash are required for this position.

Are there any preferred experiences or skills for candidates?

Yes, preferred experiences include proficiency with machine learning frameworks (e.g., PyTorch, Scikit-Learn), experience using large language models, knowledge of cloud computing platforms, and a general understanding of protein biochemistry.

How is collaboration encouraged within the team?

Effective communication skills are emphasized, and the Co-op Student will work closely with computational biologists, protein engineers, and software developers on multidisciplinary projects.

What qualities does Zymeworks value in its employees?

Zymeworks values innovation, integrity, collaboration, diversity, and care among its employees.

How can I apply for this position?

If you are interested in this opportunity, please apply via Zymeworks' career page and upload your transcript along with your resume and cover letter.

Is there any opportunity for knowledge sharing and learning in this role?

Yes, comprehensive documentation of code, methodologies, and results is expected to facilitate knowledge sharing and reproducibility.

Do we support diversity and inclusion in the workplace?

Yes, Zymeworks is committed to embracing diversity and strives to create an inclusive environment for all employees.

Developing novel medicines for patients with difficult-to-treat cancers and other serious diseases.

Science & Healthcare
Industry
201-500
Employees
2003
Founded Year

Mission & Purpose

Zymeworks (NASDAQ:ZYME) is a clinical-stage biopharmaceutical company dedicated to the development of next-generation multifunctional biotherapeutics. Zymeworks’ suite of therapeutic platforms and its fully integrated drug development engine enable precise engineering of highly differentiated product candidates. Zymeworks’ lead clinical candidate, zanidatamab, is a novel Azymetric™ HER2-targeted bispecific antibody currently being evaluated in multiple Phase 1, Phase 2, and pivotal clinical trials globally as a targeted treatment option for patients with solid tumors that express HER2. Zymeworks’ second product candidate, Zanidatamab Zovodotin (ZW49), is a bispecific antibody-drug conjugate currently in Phase 1 clinical development and combines the unique design and antibody framework of zanidatamab with Zymeworks’ proprietary ZymeLink™ linker-cytotoxin. Zymeworks is also advancing a deep preclinical pipeline in oncology (including immuno-oncology agents) and other therapeutic areas. In addition, its therapeutic platforms are being leveraged through strategic partnerships with nine biopharmaceutical companies.