Automation & Genomics Scientist

Spectraforce Technologies

Ridgefield (CT)

On-site

USD 90,000 - 130,000

Full time

8 days ago
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Job summary

Spectraforce Technologies in Ridgefield, CT seeks a Scientist to advance discovery programs in Cardiovascular-Renal-Metabolic diseases, performing hands-on mammalian cell culture, automated workflows, and NGS-related work.

The role emphasizes meticulous sample tracking, strict protocol adherence, data integrity, and collaboration across biology, automation, and genomics teams; onsite 12-month assignment with detailed SOPs and rapid troubleshooting.

Qualifications

  • Master's degree with 3+ years of relevant experience or Bachelor's with 7+ years in cell biology/genomics.
  • Hands-on experience with mammalian cell culture and NGS workflows required.
  • Experience with laboratory automation platforms preferred but not required.

Responsibilities

  • Design, execute, and analyze cell-based experiments including mammalian culture and assays.
  • Operate and monitor automation workflows for cell-based and molecular assays; troubleshoot issues.
  • Perform tissue/cell/nuclei dissociation and RNaseq workflows including library prep and QC.
  • Conduct molecular biology techniques (DNA/RNA extraction, PCR/qPCR, quantification).
  • Maintain meticulous metadata and electronic lab notebook records; comply with SOPs and safety rules.
  • Collaborate across cell biology, automation, genomics, and bioinformatics teams.

Skills

Mammalian cell culture
NGS workflows
Laboratory automation
Troubleshooting
Data quality
Documentation

Education

Master's degree in biology/related field
Bachelor's degree with 7+ years experience

Tools

Automated instrumentation
Sequencing instruments

Job description

Spectraforce Technologies in Ridgefield, CT seeks a Scientist to advance discovery programs in Cardiovascular-Renal-Metabolic diseases, performing hands-on mammalian cell culture, automated workflows, and NGS-related work.

The role emphasizes meticulous sample tracking, strict protocol adherence, data integrity, and collaboration across biology, automation, and genomics teams; onsite 12-month assignment with detailed SOPs and rapid troubleshooting.

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