C2H UX Data Researcher

About HTX Labs

Since 2017, HTX Labs has been on a mission to accelerate the future of learning, employing immersive software training solutions and content development services for the Department of Defense to elevate the level of proficiency and preparedness of today's warfighter.

HTX Labs developed the EMPACT® Immersive Learning Platform to address a growing need to modernize training, improve safety, maximize operational efficiency, and build resilience and readiness across the defense industry.

HTX Labs is dedicated to driving learning innovation, providing the necessary digital infrastructure to empower users to easily create, deploy, measure, and sustain mission-specific, immersive training programs anytime, anywhere, on any device, with anyone, at scale.

Description

This role operates at the intersection of UX research, AI workflows and evaluations, data systems architecture, immersive learning, analytics, and adaptive intelligence. You will help design the systems that allow EMPACT to continuously learn from user behavior, operational workflows, training outcomes, and AI-assisted interactions.

You will work across immersive simulations, XR platforms, analytics pipelines, telemetry systems, AI-enabled workflows, and customer-driven operational environments to transform qualitative and quantitative user signal into structured intelligence that informs product evolution.

This role is ideal for someone who thrives in fast-moving, evolving environments and is energized by combining systems thinking, human-centered design, AI-assisted research, analytics, and technical execution to solve complex problems.

Who you are

• You bring a strong foundation in data analysis, AI/ML, and data architecture, with the ability to design scalable data systems that support intelligent immersive applications.

• You are skilled at synthesizing qualitative and quantitative data into actionable recommendations and AI-ready datasets that inform product, UX, learning design, and personalization decisions.

• You are proficient in studying user behaviors, needs, motivations, and performance patterns, with a passion for using AI-assisted research and advanced analytics to enhance user experiences.

• You have proficiency in studying user interactions through usability testing, surveys, product analytics, telemetry, xAPI/LRS data, AI-assisted analysis, and other mixed-method research approaches.

• You are passionate about optimizing learning in virtual and physical environments by combining user-centered research, learning science, data science, AI-driven insights, and responsible experimentation.

• You have experience working with XR products and understand the intersection of user experience, AI, data analytics, spatial computing, learning platforms, and the customer journey.

• You excel at collaborating with Product, Engineering, Design, Learning, and Data teams to translate research, analytics, and AI findings into solutions that align with product goals.

• You stay current with trends in UX research, data analytics, applied AI, generative AI, machine learning, human-AI interaction, responsible AI, XR, and spatial computing.

• You possess excellent communication skills, enabling you to present complex data, AI outputs, research findings, model implications, and product recommendations in a clear and engaging manner.

• You are a problem-solver who combines cutting-edge AI innovation with a pragmatic, human-centered approach to drive adoption, trust, usability, and ease of use.

Responsibilities

• Design, build, and maintain scalable data architectures that support immersive training XR applications, AI-enabled analytics, adaptive learning, and model-ready data pipelines.

• Analyze large, multimodal datasets, including telemetry, user behavior, learning outcomes, xAPI/LRS data, qualitative research, and system performance data, to uncover trends, behaviors, and insights that inform product decisions and strategy.

• Apply machine learning, predictive analytics, clustering, classification, natural language processing, and generative AI techniques to identify user patterns, forecast outcomes, and optimize learning experiences.

• Collaborate with Product, Engineering, Design, and Learning teams to translate research, analytics, and AI findings into actionable recommendations, product requirements, experiments, and measurable improvements.

• Develop dashboards, repor