Posting Expiry
Zymeworks is a fast-growing biotechnology company dedicated to the research, development and commercialization of best-in-class therapeutic bispecific antibodies and antibody drug conjugates for the treatment of cancer and autoimmune diseases. Zymeworks is proud to have active collaborations with Merck & Co., Inc., Eli Lilly and Co., and Celgene Corporation, and is committed to making a meaningful difference in the lives of patients everywhere. Zymeworks has developed some of the most innovative bispecific antibodies and antibody drug conjugates in the industry for the treatment of cancers with high unmet medical needs.
About the Position
Zymeworks is seeking a scientist with experience developing protein design and modeling algorithms. The position will report to the Molecular Simulations Group Lead at Zymeworks.
Responsibilities
- Develop and apply protein engineering and design algorithms
- Develop, validate and document software that implements protein simulation and optimization methods
- Work closely with the software engineering team to meet software quality requirements
- Collaborate with protein engineering and therapeutic development teams to effectively apply protein engineering and analysis software for lead optimization
- Participate in the preparation of patents and publications
Requirements
- A Ph.D. in Physics, Chemistry, Applied Math, Computer Science or a related field
- A minimum of two years of experience developing and implementing molecular modeling algorithms. Areas of interest include, but are not limited to: Molecular dynamics/Monte Carlo simulations, Force field/potential development, Protein structure optimization, Free Energy Simulations, Antibody modeling
- Proficient in Python, or other programming languages (C/C++, Fortran)
- Fluent in written and spoken English
Desirable Qualifications:
- Experience optimizing numerically intensive code
- Protein bioinformatics experience, including but not limited to: Prediction of protein properties from sequence data, Extraction of residue co-evolution data from sequence data, Binding target prediction/identification from sequence data
- Experience implementing and applying machine learning methods to protein modeling problems. Methods of interest include, but are not limited to: clustering methods and other unsupervised learning techniques (ie SOMs, kernel PCA, ICA), regression methods (ie random forest regression, Gaussian process regression), classification methods (ie random forests, SVMs, logistic regression)
Why Work for Us?
Zymeworks’ employees are passionate, engaged and extremely motivated to succeed. Our environment is progressive, collaborative, focused and pragmatic. To learn more about Zymeworks Inc. and our current openings, please visit our website at www.zymeworks.com.
This is a full-time permanent position and employees will receive three weeks’ vacation, health and dental benefits, life insurance, and may be eligible for other organizational benefits including RRSP matching, employee stock options, subsidized gym membership, and company social events. Expected salary range is $90,000 to $120,000 per year.
How to Apply
If you are interested in applying for this position, please do so through our online jobs board at https://zymeworks.mytribehr.com/careers/view/29. Alternatively, you may email your resume and cover letter zymeworks-job29@mytribehr.com. Although we appreciate all applications, due to the high volume of responses only those selected for interviews will be contacted.
Job Location
1385 West 8th Avenue
Suite 540
Vancouver, British Columbia
V6H 3V9
Contact person:
Jenna Ho
HR Associate
604.678.1388
jenna.ho@zymeworks.com