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Quantum UX Research Lead

NeuraLabs Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NeuraLabs Inc. at the forefront of human-computer symbiosis for 2026. We're pioneering neural interface UX research that bridges biological cognition with AI systems. As our Quantum UX Research Lead, you'll design experimental protocols for next-gen neural interaction platforms, analyzing quantum-entangled user behavior patterns to redefine digital experiences.

Work in our state-of-the-art neuro-UX lab where we're developing the interface paradigms for the coming decade. You'll collaborate with quantum physicists, neuroscientists, and AI ethicists to create intuitive, adaptive systems that respond to subconscious cognitive signals.

Responsibilities

  • Design and execute neural UX experiments using quantum-entangled feedback loops
  • Develop predictive models for subconscious interaction patterns in quantum computing environments
  • Create ethical frameworks for brain-computer interface user consent protocols
  • Lead cross-functional teams in translating neuro-data into tangible interface solutions
  • Document quantum UX methodologies for emerging technology standards
  • Present findings to stakeholders at the intersection of neuroscience and AI development

Qualifications

  • PhD in Cognitive Neuroscience or Human-Computer Interaction with quantum computing specialization
  • 5+ years experience in experimental UX research with neural interface technologies
  • Expertise in quantum data analysis and entanglement-based behavioral modeling
  • Published research in quantum-human interaction or neuro-UX domains
  • Proficiency in Python/R for quantum algorithm development and statistical modeling
  • Experience with fNIRS and EEG systems in quantum-enhanced research contexts
  • Certification in quantum ethics and neuro-privacy compliance frameworks

Required Skills

Quantum UX Research Neural Interfaces Cognitive Modeling Quantum Algorithms Brain-Computer Interfaces Neuro-Data Analysis Ethical AI Design

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