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Undergraduate Technical Intern – Multiscale Systems Science

Pacific Northwest National Laboratory · Charleston, Kanawha County

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Be ready to walk through coursework projects with methods, assumptions, and failure modes; explain any modeling or data work simply; ask how Multiscale Systems Science is defined on this team and what deliverables interns own in a summer or term.

Fit summary

Strong fit if you want federal-lab research exposure, can work on-site in the listed West Virginia location, and enjoy technical problem-solving over pure software product work. Thin public employee-review data—judge culture from mentors and the specific group, not headlines alone.

Day in the role

As an undergraduate technical intern in Multiscale Systems Science at PNNL, a typical day would mix reading papers, running or documenting models/simulations across scales, cleaning data, and meeting mentors on methods and results. You would log experiments, write short notes for team review, and support larger DOE-oriented research rather than own production systems alone.

Skills to emphasize

Prioritize scientific programming (Python or similar), numerical methods, version control, clear lab notebooks, and multiscale modeling concepts. Domain reading in systems science and basic statistics matter more than generic certs for this intern level; no cert list was provided for this family.

FAQ from this listing

Is this role remote?

The listing marks remote as no; plan for on-site work in Charleston, Kanawha County unless PNNL states otherwise.

Where is PNNL mainly based?

PNNL’s primary campus is Richland, Washington; this intern role is posted for Charleston, West Virginia.

What background helps most?

Undergraduate coursework in science, engineering, or computational modeling, plus clear written communication and curiosity about multiscale systems methods.

Company facts (cached)

Website: pnnl.gov

Pacific Northwest National Laboratory (PNNL) is one of the United States Department of Energy national laboratories, managed by the Department of Energy's (DOE) Office of Science. The main campus of the laboratory is in Richland, Washington, with additional research facilities around the country.

Public cache only — not an employee review.

Role overview (listing rewrite)

Undergraduate Technical Intern - Multiscale Systems SciencePacific Northwest National LaboratoryCharleston, Kanawha County Role Overview This role involves contributing to research and development projects in the field of multiscale systems science. The intern will work closely with a team of scientists and engineers on various tasks related to the design, analysis, and implementation of complex systems. Day-to-Day Responsibilities Assist in the development and testing of models for multiscale systems. Conduct literature reviews and data analyses relevant to project objectives. Participate in team meetings and contribute to project documentation. Support experimental setup and data collection as needed. What We're Looking For A current undergraduate student with a strong interest in multiscale systems science or related fields. Proficiency in programming languages such as Python, MATLAB, or C++. Experience with data analysis and visualization tools is beneficial. Strong analytical skills and the ability to work independently as well as collaboratively within a team. About Pacific Northwest National Laboratory Pacific Northwest National Laboratory (PNNL) is a multidisciplinary research institution that focuses on advancing science, technology, and national security. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environ… Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

Generated for personal interview prep · 2026-08-07 UTC · getajob.ai