R&D Lab Technician

Required Skills & Experience

Hands-on laboratory, research, or test-bench experience through professional work, coursework, or academic research Working knowledge of Python or MATLAB for basic data analysis, including loading datasets, plotting, and basic statistics Strong attention to detail and accurate record keeping Ability to follow written experimental procedures and test protocols

Technical education or experience such as:

Bachelor’s or graduate-level coursework in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Physics, or a related discipline, or Associate degree in a technical field with relevant laboratory/test experience, or equivalent hands-on experience

Nice to Have Skills & Experience

Familiarity with basic data science concepts, including supervised learning and scoring metrics Experience working with multi-component test-bench systems Exposure to Design of Experiments (DOE) Exposure to Measurement System Analysis (MSA), including Gauge R&R Experience using JIRA and/or Confluence for technical documentation

Job Description

Insight Global is seeking an R&D Lab Technician to support the research and development team of a growing manufacturing technology company in San Leandro, CA. This individual will work hands-on with laboratory/test equipment, execute experiments based on established procedures, analyze test data, and maintain accurate documentation.

This is a strong opportunity for someone with hands-on lab, engineering, or research experience who enjoys working with physical equipment while also using Python or MATLAB to analyze data. The position will support a small R&D team as the company transitions from prototype development toward commercialization of its technology.

Responsibilities

Set up and execute experiments according to written protocols and test matrices Operate and support multi-component laboratory and test-bench equipment Record equipment settings, test conditions, results, and deviations in JIRA and Confluence Run established data-analysis workflows and identify or flag anomalies Use Python or MATLAB to load, analyze, and visualize experimental data Generate standard plots, tables, dashboards, and summaries for weekly R&D review Maintain equipment logs, calibration checks, and organized experimental data Assist scientists and engineers with R&D testing and experimentation Follow established experimental procedures and escalate potential changes or issues to the appropriate team members