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Future Technologies Innovation Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 175.000 – USD 225.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution. We're seeking a visionary Future Technologies Innovation Lead to architect solutions for 2026 and beyond. In this pivotal role, you'll spearhead R&D initiatives in quantum computing, biotech integration, and AI-human symbiosis. You'll collaborate with Nobel laureates and disruptors to transform theoretical concepts into market-ready innovations that redefine industries.

Our Austin-based innovation hub offers unparalleled resources, including a quantum computing lab and synthetic biology workspace. We provide competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends. Shape tomorrow's technological landscape while enjoying Texas's vibrant culture and startup ecosystem.

Responsibilities

  • Lead cross-functional R&D teams developing next-gen technologies with 3-5 year market impact horizons
  • Architect strategic innovation roadmaps for quantum computing applications and AI-biotech convergence
  • Secure and manage $5M+ annual R&D budgets through federal grants and venture partnerships
  • Establish industry-first partnerships with MIT Media Lab, NASA JPL, and global biotech accelerators
  • Translate complex theoretical frameworks into scalable commercial prototypes
  • Present breakthrough innovations to C-suite executives and venture capital consortiums
  • Mentor PhD researchers and patent 3+ novel technologies annually

Qualifications

  • PhD in Computational Physics, Quantum Engineering, or Synthetic Biology (or equivalent experience)
  • 7+ years in R&D leadership with proven commercialization of emerging technologies
  • Expertise in quantum algorithms, CRISPR applications, or neuromorphic computing
  • Track record securing >$10M in federal SBIR/STTR grants or venture funding
  • Published research in Nature/Science journals or equivalent industry publications
  • Proficiency in Python, TensorFlow, and quantum simulation platforms (Qiskit, Cirq)
  • Experience with ISO 13485/62304 compliance for medical device innovation
  • Fluency in futures forecasting methodologies (Delphi, scenario planning)

Required Skills

Quantum Computing Synthetic Biology AI Ethics Venture Capital Technology Roadmapping Patent Strategy Federal Grants Neuromorphic Engineering

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