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Fire Science Intern
StandFire Science Intern supporting experimental validation and simulation of fire behavior for innovative insurance solutions. Conducting fire experiments and data processing to enhance risk assessment models.
Posted 6/24/2026internshipSan Francisco • California • 🇺🇸 United StatesEntry Level💰 $30 per hourWebsite
About the role
Key responsibilities & impact- Design and support controlled fire experiments by defining test conditions, configurations, and instrumentation layouts
- Operate experimental instrumentation, DAQ systems, and cameras during live fire tests to ensure complete and synchronized data capture
- Troubleshoot sensor, DAQ, and timing issues under real test-day constraints
- Process raw experimental outputs into clean, reproducible, validation-ready datasets using repeatable workflows
- Support numerical simulations and perform experimental–simulation comparisons for fire model validation
- Maintain clear run logs, data documentation, and experimental runbooks to ensure repeatability and knowledge transfer
Requirements
What you’ll need- Hands-on experience setting up and operating experimental instrumentation and DAQ systems
- Familiarity with fire-related experiments and strong laboratory safety discipline
- Experience operating sensors or diagnostics and aligning multi-channel data in time
- Proficiency in time-series data processing, visualization, and basic data quality checks
- Strong documentation habits, including run logs, data notes, and clear technical summaries
- Ability to work independently and troubleshoot issues during live experiments
Benefits
Comp & perks- Above-market Health, Dental, and Vision coverage
- Weekly lunch stipend
- Flexible time off + holidays
- 401(k) plan
- Commuter benefits
- PAT & MAT Leave
- Short-Term and Long-Term Disability
- Monthly team gatherings
- In-office perks
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
experimental instrumentationDAQ systemsdata processingtime-series data processingdata visualizationdata quality checksnumerical simulationsexperimental-simulation comparisonstroubleshootingdata documentation
Soft Skills
strong laboratory safety disciplinestrong documentation habitsability to work independentlytroubleshooting under constraintsclear technical summaries