Research Technician I/II — Immune-Engineering & ML Platforms

Benaroya Research Institute; Seattle (WA); On-site; USD 33,000 - 56,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Flexible spending accounts

Short and long-term disability

Life and AD&D insurance

403(b) retirement plan with matching

13 holidays

3 weeks of vacation and 2 weeks of PTO

Employee assistance program

Educational assistance program

Subsidized ORCA

Wellness benefits

Voluntary benefits

Job summary

Benaroya Research Institute in Seattle is seeking a Research Technician I or II to join The Irvine Lab, an interdisciplinary group applying protein engineering, machine learning, and immunology to map how antibody sequence and structure influence receptor engagement and immune outcomes.

The role offers hands-on work in mammalian cell culture, flow cytometry, and next-generation sequencing, with opportunities to contribute to publications and develop skills in computational biology.

Qualifications

• BS/BA in biology, bioengineering, or related field required.
• Hands-on experience in a biological research lab preferred.
• Experience with mammalian cell culture or related techniques advantageous.

Responsibilities

• Execute and optimize experiments.
• Analyze data and maintain electronic lab notebook.
• Prepare reagents, cell lines, plasmids, and materials.
• Collaborate with colleagues and present results in meetings.
• Contribute to development of a new research laboratory.

Skills

Mammalian cell culture

Flow cytometry

Next-gen sequencing

Antibody expression

Lab technique

Education

BS/BA in biology or bioengineering

Job description

Benaroya Research Institute in Seattle is seeking a Research Technician I or II to join The Irvine Lab, an interdisciplinary group applying protein engineering, machine learning, and immunology to map how antibody sequence and structure influence receptor engagement and immune outcomes.

The role offers hands-on work in mammalian cell culture, flow cytometry, and next-generation sequencing, with opportunities to contribute to publications and develop skills in computational biology.