Environmental Lab Data Analyst (HRMS)

Onterris, Inc.

Cameron Park (CA)

Hybrid

USD 37,000 - 48,000

Full time

12 days ago

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Job summary

Onterris, Inc. in El Dorado Hills, CA seeks an HRMS Analyst to operate GC‑HRMS systems, generate QC/compliant reports, and ensure reliable results. You will maintain instruments, prepare data summaries, and support project management with clear communication.

The role requires a scientific bachelor's degree, lab experience, and strong data-analysis skills, with attention to detail and proficiency in relevant software and instrumentation.

Qualifications

  • Bachelor's degree in a scientific field.
  • Experience working in a laboratory environment.
  • Ability to sit for long periods and use a computer for extended durations.
  • Strong attention to detail and data handling capabilities.

Responsibilities

  • Analyze Dioxin, PCB, PAH, pesticides, PBDE, and other semi-volatile compounds using EPA methods and client requests.
  • Prepare data summaries for inclusion in client reports and maintain QA‑compliant documentation.
  • Calibrate instruments and perform routine maintenance; troubleshoot instrumentation and difficult matrices.
  • Communicate findings timelily to project management and internal clients.
  • Prepare samples and standards; keep organized records of prep, analysis and equipment upkeep.
  • Address client questions, initiate non-conformance resolutions, and follow QA policies.

Skills

Data analysis
Complex problem solving
Time management
Attention to detail

Education

Bachelor's degree in a scientific field

Tools

Waters
Agilent instrumentation
MassLynx/TargetLynx
Microsoft Word
Microsoft Excel
Microsoft PowerPoint

Job description

Onterris, Inc. in El Dorado Hills, CA seeks an HRMS Analyst to operate GC‑HRMS systems, generate QC/compliant reports, and ensure reliable results. You will maintain instruments, prepare data summaries, and support project management with clear communication.

The role requires a scientific bachelor's degree, lab experience, and strong data-analysis skills, with attention to detail and proficiency in relevant software and instrumentation.

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