AbCellera

AbCellera

Quality Associate (12-month contract)

Vancouver · Internship

Sponsorship not specified$52k-$65kDetected 39 days ago
ExpressSAPAnimal StudiesCommunicationMentoring

About the role

  • Each of us cares about someone who will need medicines.
  • We pursue truth and scientific rigour and have the courage to work at the edge of the unknown.
  • Scientific and technical mentorship is a priority.

Responsibilities

  • We have built a platform for advancing antibody drug programs from target to clinic, and we are using it to build our internal pipeline.
  • We look for people with drive and energy.
  • Helping manage our document management system (Veeva QualityDocs) by organizing files, updating records, and supporting team members with day-to-day questions
  • Reviewing and approving documents to ensure records are accurate, complete, and meet internal quality standards, and supporting the process of updating and issuing controlled documents when changes are needed
  • Contributing to routine document reviews and helping track quality metrics used in management reporting
  • Providing administrative support during internal audits and regulatory inspections
  • Managing user access in Veeva, responding to system support requests, and helping build dashboards that track quality data in real time

Compensation

  • AbCellera's hiring range for this role is CAD $52,000 - $65,000 annually, commensurate with your education and job-related knowledge, skills, and experience.

Benefits

  • AbCellera's hiring range for this role is CAD $52,000 - $65,000 annually, commensurate with your education and job-related knowledge, skills, and experience.
  • We are a clinical-stage biotechnology company focused on discovering and developing antibody-based medicines in the areas of endocrinology, women's health, immunology, and oncology.
  • We believe that when tenacious people share a vision and work together, they can truly have a positive impact.

This listing is sourced directly from AbCellera's careers page and normalized into a canonical job model.