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Research & Development 🏢 Full Time ⭐️ Verified

Lead Research & Development Scientist (AI & Advanced Materials)

NexGen Innovations Labs
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to redefine the boundaries of what is possible? NexGen Innovations Labs is seeking a visionary Lead R&D Scientist to spearhead our cross-disciplinary initiatives. In this role, you will bridge the gap between cutting-edge computational modeling and physical material science to create the next generation of industry-disrupting technology.

We offer a collaborative, high-impact environment where your intellectual curiosity is the primary driver of our roadmap. Join us to transform theoretical concepts into tangible, market-leading solutions.

Responsibilities

  • Lead the full product lifecycle from conceptualization and feasibility study to prototype development.
  • Design and implement complex experiments leveraging machine learning models to accelerate material discovery.
  • Collaborate with cross-functional teams to integrate novel R&D findings into commercial product architectures.
  • Analyze large-scale datasets to derive actionable insights that influence long-term corporate R&D strategy.
  • Mentor junior researchers and foster a culture of rigorous scientific inquiry and technical excellence.
  • Document research methodologies and outcomes to support intellectual property filings and patent applications.

Qualifications

  • PhD in Materials Science, Physics, Chemical Engineering, or a closely related computational field.
  • Minimum of 5 years of post-doctoral or industry experience in high-tech R&D environments.
  • Expertise in Python, R, or C++ with a strong focus on data-driven modeling and simulation.
  • Proven track record of scientific publication or successfully transitioned commercial prototypes.
  • Exceptional analytical thinking skills with a demonstrated ability to solve ambiguous, complex problems.
  • Ability to communicate highly technical concepts to both technical and non-technical stakeholders.

Required Skills

Materials Science Computational Modeling Machine Learning Data Analysis Project Management Experimental Design Python Intellectual Property Strategy

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