Senior Architect, Cognitive Engineering

Roles and Responsibilities

• Conduct cognitive task analyses with radiologists, technologists, and clinicians to understand workflows, pain points, and decision-making.
• Collaborate with cross-functional teams to design user interfaces for imaging systems, patient monitors, and digital health tools.
• Lead usability evaluations and human-in-the-loop simulations to validate design decisions.
• Translate cognitive insights into actionable design requirements and risk mitigation strategies.
• Support regulatory submissions by documenting human factors engineering processes in compliance with FDA, NMPA, and IEC 62366-1 standards.
• Contribute to the development of AI-enabled decision-support tools that align with clinical reasoning processes.
• Collaborate with software developers, UX designers, and clinical stakeholders to develop and refine prototypes.
• Apply cognitive psychology and human factors principles to reduce errors and improve efficiency in clinical environments.
• Develop metrics for design success. Monitor, measure and adjust designs accordingly in conjunction with Product Managers and Engineering.
• Champion a people-centered design approach, leveraging insights from design and market research/feedback to inform design decisions.
• Analyze user interactions and behavioral data to optimize system usability and performance.
• Design and conduct experiments to test cognitive load, attention, perception, and decision quality in system use.
• Iterate on cognitive models and design frameworks based on testing outcomes and user feedback.

Required Qualifications

• Master’s degree or PhD in Cognitive Science, Human Factors, Psychology, or a related field with at least 10 years of applied experience.
• Experience applying cognitive engineering or human factors in healthcare or medical device environments.
• Familiarity with usability testing methods, workflow analysis, and human-centered design.
• Strong communication skills and the ability to translate complex cognitive insights into actionable design recommendations.
• Able to work in fast paced environment. Must possess exceptional team skills.

Desired Characteristics

• Experience with medical device interfaces.
• Knowledge of healthcare regulations and standards (e.g., FDA, AAMI, NMPA, IEC 62366-1).
• Familiarity with prototyping tools (e.g., Axure, Figma) and data analysis software (e.g., R, Python).
• Exposure to neuroscience methods (EEG, eye-tracking) or biofeedback systems.
• Experience designing for high-stakes environments (aviation, healthcare, defense, etc.).
• Working knowledge of machine learning concepts, model interpretability, and human-AI interaction paradigms.
• Experience designing for explainability and trust in AI/ML systems.

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.