Human Factors Engineer

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.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .