Genomics Lab Technician | NGS & Automation

Parse Biosciences; Seattle (WA); On-site; USD 48,000 - 55,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Paid holidays

Time off

Transit program (Seattle)

Job summary

Parse Biosciences seeks a Genomics Lab Technician to join the Genomic Lab team in Seattle. You will fix, barcode, and sequence samples using our split-pool barcoding protocol while collaborating with R&D, Automation, and Manufacturing to ensure precise process execution and continuous improvement.

The role requires hands-on wet lab experience, familiarity with NGS platforms (Illumina/Ultima), and ability to handle samples and data with care.

Qualifications

• 3+ years of hands-on wet lab experience in industry or equivalent
• Demonstrated ability to perform common molecular biology techniques
• Experience with Next-Generation Sequencing (NGS) platforms (Illumina or Ultima) and lab automation preferred

Responsibilities

• Maintain a safe, clean, and efficient lab environment
• Receive, inspect, and log lab specimens with careful handling of PII
• Perform cell and/or nuclei fixation per SOPs
• Prepare libraries using the split-pool barcoding process
• Operate automated lab systems for sequencing
• Maintain accurate batch records and GDP/LIMS documentation
• Follow SOPs and GCLP guidelines

Skills

Wet lab experience

Molecular biology

Attention to detail

Critical thinking

Education

B.S./B.A. in a relevant field (3+ years wet lab)

Associate's degree (5+ years wet lab)

Tools

Illumina sequencing

Ultima sequencing

Hamilton automation

Job description

Parse Biosciences seeks a Genomics Lab Technician to join the Genomic Lab team in Seattle. You will fix, barcode, and sequence samples using our split-pool barcoding protocol while collaborating with R&D, Automation, and Manufacturing to ensure precise process execution and continuous improvement.

The role requires hands-on wet lab experience, familiarity with NGS platforms (Illumina/Ultima), and ability to handle samples and data with care.