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Research & Development 🏢 Full Time ⭐️ Verified

2026 Futurist Innovation Strategist

Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Horizon Labs at the forefront of tomorrow's transformation. We're seeking a visionary 2026 Futurist Innovation Strategist to architect the next generation of technological paradigms. This pivotal role demands radical thinking and systems-level innovation to solve humanity's most pressing challenges through cutting-edge AI, quantum computing, and biotech convergence.

You'll lead cross-disciplinary initiatives, shape our 10-year innovation roadmap, and partner with C-suite executives to embed future-ready strategies across global operations. If you thrive at the intersection of speculative science and commercial viability, this is your catalyst to reshape industries.

Responsibilities

  • Develop and implement 2026+ technology foresight frameworks using predictive modeling and scenario planning
  • Lead quantum-AI hybrid system design for autonomous infrastructure solutions
  • Architect biotech-AI convergence protocols for personalized medicine ecosystems
  • Collaborate with MIT Media Lab and NASA JPL on next-gen human-machine interfaces
  • Produce annual 'State of 2026' innovation briefings for Fortune 500 clients
  • Manage $5M+ R&D portfolio for breakthrough commercialization

Qualifications

  • PhD in Computational Physics, Systems Engineering, or Futurology (or equivalent experience)
  • 5+ years at top-tier innovation lab (e.g., X, DeepMind, or DARPA)
  • Published research in Nature/Science on exponential technology convergence
  • Expertise in quantum machine learning and synthetic biology
  • Proven track record of commercializing speculative technologies
  • Fluency in Python, TensorFlow, and quantum circuit design
  • Security clearance preferred for national infrastructure projects

Required Skills

Foresight Modeling Quantum Computing AI Ethics Systems Architecture Commercial Innovation Biotech-AI Integration Predictive Analytics

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