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Engineering
Chemical / Process Engineer
Upper Marlboro, MD

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SAIC

Human Factors Engineer

Pay: $80,001/yr
Posted: 2 weeks ago
Location: Upper Marlboro, MD (Onsite)
Last Updated: 1 week ago
Hours: Full-Time
Expires: 11/23/2026
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Job Description

Job ID:
2618147
Location:
Upper Marlboro, MD, US Date Posted:
2026-10-19
Category:
Engineering and Sciences Subcategory:
Human Factors Engr Schedule:
Full-Time Shift:
Day Job Travel:
Yes - 25% of the time
Minimum Clearance Required:
None Clearance Level Must Be Able to
Obtain:
Public Trust Potential for
Remote Work:
ORA_HYBRID Description SAIC's Identity and Data Sciences Lab (IDSL) team is seeking a Human Factors Engineer to assist with large-scale human-subjects testing of biometric and identity technologies. The IDSL performs unique test events to evaluate the performance of technologies such as face recognition, and other AI-based systems and to understand how optimize these systems for human workflows. As a Human Factors Engineer you will be responsible for tasks related to designing and executing tests, such as test design, the development of instructional materials, debrief surveys, as well as data review and annotation. The Human Factors Engineer will join the multi-disciplinary collaborative team at the IDSL.
Responsibilities:
Assist with development, administration, and analysis of surveys. Assist with test planning and execution. Support data collection activities with large groups of human subjects. Develop briefing materials and signage for test events. Review and annotate previously collected data and new incoming data in real time.
Qualifications Required:
Bachelor's degree and two years of experience in psychology, neuroscience, human factors or a related field or Master's degree. Must be able to obtain and maintain a DHS public trust requiring U.S. Citizenship. Strong experience with human subjects testing. Strong written and oral communication skills. Experience developing and implementing experimental designs (e.g., randomized, blocked, or paired designs). Experience with video review and annotation techniques (e.g., open coding). Experience with quantitative and qualitative data analysis techniques. Familiarity with statistical data analyses using R or Python.
Target salary range:
$80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.