Human Factors Engineer: Health & Human‑Machine Systems

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Benefits offered by this job

Education assistance program

Retirement contributions

Work-life balance

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks a Human Factors Engineer to help design and operationalize advanced human-machine systems for national needs. You will contribute to multidisciplinary teams across health, cyberspace, and defense domains, integrating cognitive engineering, AI/ML, and data-driven methods.

You will apply UCD/UX/UI to prototype solutions, analyze workload and task design, and collaborate with stakeholders to translate requirements into usable, safe

Qualifications

• Bachelor's degree in Psychology, Human Factors Engineering, Human Systems Integration, or Computer Science.
• Experience with requirements analysis, experimental design, and system evaluation.
• Experience with UCD, UX, and UI design.
• Strong interpersonal, written, and verbal communication skills; can work independently and in a team.
• Willingness to travel occasionally to meetings with government sponsors.
• Eligible for Interim Secret clearance and ultimately Secret clearance; U.S. citizenship required.

Responsibilities

• Collaborate with engineers and analysts to conduct research and develop systems.
• Analyze human system design, requirements, task redesign, and workload modeling.
• Apply UCD/UX/UI to rapidly develop prototypes.
• Capture requirements, stakeholder input, and test results for complex systems.
• Support documentation and presentation of human factors artifacts.

Skills

UCD

UX

UI design

Requirements analysis

Experimental design

System evaluation

Interpersonal communication

Education

Bachelor's degree in Psychology / Human Factors / HSI / CS

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks a Human Factors Engineer to help design and operationalize advanced human-machine systems for national needs. You will contribute to multidisciplinary teams across health, cyberspace, and defense domains, integrating cognitive engineering, AI/ML, and data-driven methods.

You will apply UCD/UX/UI to prototype solutions, analyze workload and task design, and collaborate with stakeholders to translate requirements into usable, safe