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Systems Engineer II (PCR​/qPCR​/Sequencing​/troubleshhoting

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Doist
Full Time position
Listed on 2026-08-07
Job specializations:
  • Science
    Research Scientist
Salary/Wage Range or Industry Benchmark: 48 - 66 USD Hourly USD 48.00 66.00 HOUR
Job Description & How to Apply Below
Position: Systems Engineer II (PCR/qPCR/Sequencing/troubleshhoting)

Our client, a world leader in biotechnology and gene therapy, is looking for a “Systems Engineer II” based in Santa Clara, CA.

Job Duration:
Long Term Contract (Possibility Of Extension) Pay Rate : $57/hr on W2

Company Benefits
  • Medical
  • Dental
  • Vision
  • Paid Sick leave
  • 401K
Key Responsibilities
  • Design, execute, analyze, and document experiments supporting NGS feasibility, development, integration, verification, and validation.
  • Perform nucleic acid extraction, sample preparation, library preparation, and sequencing experiments.
  • Optimize sequencing workflows and operating protocols.
  • Troubleshoot instrument, assay, and workflow failures using root cause analysis.
  • Develop and execute test cases based on product requirements.
  • Apply statistical analysis and Design of Experiments (DoE) methods to interpret data and improve sequencing performance.
  • Collaborate with assay, instrumentation, software, bioinformatics, and systems engineering teams.
  • Maintain accurate laboratory records and support continuous improvement of sequencing performance, reliability, throughput, and reproducibility.
Required Qualifications
  • Bachelor’s degree with 5+ years of relevant experience, or Master’s degree with 1–3+ years of relevant experience in science, engineering, chemistry, or a related field.
  • Hands-on experience with PCR, nucleic acid extraction, DNA sequencing, sample preparation, library preparation, and/or NGS.
  • Experience using Python, MATLAB, Git, or similar tools for data analysis or automation.
  • Knowledge of statistical analysis, including JMP, regression, and ANOVA.
  • Experience with Design of Experiments (DoE) and statistical process control.
  • Strong troubleshooting, root cause analysis, data analysis, and technical documentation skills.
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