Automation Scientist: Digital Discovery & Intelligent Systems

Biopharma Careers

Burnaby

On-site

CAD 109,000 - 148,000

Full time

14 days+

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Job summary

Amgen in Burnaby, BC, is seeking a Scientist/Engineer to design, build, and support automated laboratory platforms within Immunoengineering. You will own both new and legacy systems, ensuring reliability and scalability while connecting workflows to enterprise data and AI infrastructure.

You’ll collaborate with scientists and engineers to translate biological requirements into robust, modular automation solutions, enabling reproducible results and enhanced throughput.

Qualifications

  • PhD in Biology, Immunology, Immunoengineering, Biochemistry, Biotech or related field.
  • Or Master’s degree + 3+ years of relevant experience.
  • Or Bachelor’s degree + 5+ years of relevant experience.
  • Experience with laboratory automation systems.
  • Ability to design and support integrated systems.

Responsibilities

  • Design and support integrated automation platforms within Immunoengineering.
  • Connect platforms to broader data, AI, and enterprise automation infrastructure.
  • Design end-to-end automated lab workflows.
  • Own new and legacy automation systems; ensure performance and uptime.
  • Collaborate with scientists to translate biology requirements into engineered solutions.

Skills

Laboratory automation
Systems thinking
Robotics familiarity
Programming (Python, C#)

Education

PhD in Biology or related field
Master’s degree + 3+ years experience
Bachelor’s degree + 5+ years experience

Tools

Python
C#
LIMS/ELN

Job description

Amgen in Burnaby, BC, is seeking a Scientist/Engineer to design, build, and support automated laboratory platforms within Immunoengineering. You will own both new and legacy systems, ensuring reliability and scalability while connecting workflows to enterprise data and AI infrastructure.

You’ll collaborate with scientists and engineers to translate biological requirements into robust, modular automation solutions, enabling reproducible results and enhanced throughput.

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