Vancouver, BC, Canada
Job Type:
  • Staff
Degree Level Required:
Masters, PhD
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Offers & Benefits:

  • The opportunity to make a real difference, working on challenging problems that matter
  • An attractive compensation package, including health and lifestyle benefits
  • A minimum of 3 weeks’ vacation
  • A seat in our beautiful new office in Vancouver, BC, Canada (just off Cambie Street - with plenty of good lunch options nearby)
  • Opportunities for personal and professional development


The role: Our research creates a huge amount of data. We need someone like you to help bridge the gap between complex biological data and life-changing insights. On any given day you might:

  • Extend and improve production pipelines for analyzing single-cell and bulk immunoglobulin repertoire sequencing data
  • Build new bioinformatic tools for internal R&D priorities
  • Work closely with front-end and back-end developers to enable effective storage, processing, and visualization of large and complex datasets
  • Collaborate with wet-lab scientists to interpret and design experiments

Our current tech stack:

  • Python
  • Back-end powered by Django
  • Front-end in Angular or ReactJS, depending on the project
  • PostgreSQL database


What we’re looking for:

  • A graduate degree (MSc or PhD) in Bioinformatics, Computational Biology, or a related field
  • Experience working in a team environment, collaborating on solutions, and sharing code
  • Proficiency in at least one common coding language (Python preferred)
  • Experience working with high-throughput sequencing data
  • Experience modeling, designing, testing, and debugging code
  • A demonstrated ability to find creative and functional solutions to complicated problems
  • The ability to express complex ideas in understandable ways, and to communicate effectively with people from different fields
  • Excellent documentation skills with impeccable attention to detail

Bonus qualifications, but not required:

  • A good foundation in statistical analysis
  • An understanding of the basics and limitations of experimental protocols
  • A background in immunobiology
  • Experience with machine learning techniques, feature selection, and data exploration