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

dawarconsulting

Santa Clara (CA)

On-site

USD 97,997,000 - 163,328,000

Full time

14 days+
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Job summary

Our client in Santa Clara, CA is seeking a hands-on Systems Engineer II to support the development and integration of next-generation sequencing (NGS) solutions. This contract role focuses on optimizing workflows, performing wet-lab experiments, and supporting verification and validation activities.

Responsibilities include designing experiments, performing nucleic acid extraction and library preparation, troubleshooting with root-cause analysis, and collaborating with cross-functional teams to

Qualifications

  • Bachelor’s degree with 5+ years of relevant experience or Master’s with 1–3+ years in science/engineering.
  • Hands-on experience with PCR, nucleic acid extraction, DNA sequencing, sample preparation, library preparation, and/or NGS.
  • Experience with data analysis or automation using Python, MATLAB, or Git.
  • Knowledge of JMP, regression, ANOVA for statistical analysis.
  • Experience with DoE and statistical process control.
  • Strong troubleshooting, data analysis, and technical documentation skills.

Responsibilities

  • Design, execute, analyze, and document experiments for NGS feasibility, development, integration, verification, and validation.
  • Perform nucleic acid extraction, sample and 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 DoE methods to interpret data and improve sequencing performance.
  • Collaborate with assay, instrumentation, software, bioinformatics, and systems engineering teams.
  • Maintain laboratory records and support performance improvements.

Skills

Troubleshooting
Data analysis
DoE
Statistical analysis

Education

Bachelor's degree in science/engineering
Master's degree in science/engineering

Tools

Python
MATLAB
Git

Job description

Our client, a world leader in biotechnology and gene therapy, is looking for an “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 Client is seeking a hands‑on Systems Engineer II to support the development and integration of next-generation sequencing (NGS) solutions. This role will work with the Single Molecule Sequencing platform to optimize workflows, perform wet‑lab experiments, troubleshoot system and assay issues, and support verification and validation activities.

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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