Human Factors Research Intern
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-06-19
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Research/Development
Research Scientist
Leidos is seeking a motivated intern to support our work in Human Factors research. The position will be based out of our Arlington, VA office OR San Diego, CA. However, this position is available as remote work or onsite.
This candidate will work with other researchers and engineers in research projects focused on developing innovative data science solutions. Tasks involved in this research include adapting and extending data science technologies to new applications, developing prototypes, drafting research papers, and supporting existing human factors programs. The candidate must be intellectually adaptive, inquisitive, communicative, a self-starter and problem-solver, and self-managed when necessary.
The intern will be responsible for developing, defending, executing and presenting the results of a research plan.
- At the direction of the project lead, analyze and assess internal projects and artifacts as part of developing innovative data science solutions.
- Support analysis and interpretation of experimental results by senior researchers and decision-makers.
- Communicate plans and results effectively through written status reports and presentations.
- Pursuing a Degree in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
- Has experience with programming languages such as Java, Scala, C/C++, Ruby, Rust, or Python.
- Coursework in human factors.
- Ability to obtain and maintain a DoD security clearance.
- US citizenship required.
- Hands‑on experience working with human factors theories and technologies.
- Demonstrable experience and curiosity in human factors.
Pay Range $46,800.00 - $84,600.00. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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