Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**What You Will Do** Los Alamos National Laboratory is currently seeking a scientist to design and execute advanced workflows for the characterization of nuclear material storage containers across multiple modalities. This role involves applying techniques such as microscopy, electrochemistry, and data analysis to generate high-quality insights that support mission objectives. The successful candidate will develop and maintain rigorous experimental protocols for sample preparation, instrument calibration, and data acquisition to ensure reproducibility and data integrity. Responsibilities include operating and integrating advanced instrumentation-such as optical and confocal microscopy, electrochemical workstations, and chemical analysis systems-to enable multi-scale, multi-physics materials characterization. This position requires close collaboration with computational scientists and engineers to connect experimental results with modeling, simulation, and data-driven analysis efforts. Additional duties include maintaining laboratory instrumentation, troubleshooting experimental systems, and ensuring compliance with safety, quality, and documentation standards. The candidate will document and communicate findings through technical reports, peer-reviewed publications, and presentations, contributing to the advancement of materials characterization and nuclear materials research. **Salary Range:** **Scientist 1:** $96,600 to $158,000 **Scientist 2:** 106,400 to $176,000 #shiftwork **What You Need** **Minimum Job Requirements:** For full consideration, applicants must submit a comprehensive cover letter and resume that addresses the key requirements of the position below. - **Education/Experience for Scientist 1:** Position requires a Bachelor's d degree in a STEM field from an accredited college or university and 2 years of related experience, or an equivalent combination of education and experience directly related to the occupation. - **Education/Experience for Scien