Human Factors Engineer

Human Factors Engineer

Job ID: 2618147

Location: Upper Marlboro, MD, United States

Date Posted: Oct 20, 2026

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: Hybrid

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Job Description

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.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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