Scientist II/Senior Characterization Scientist, Condensed Matter

Responsibilities

• Design, execute, and optimize characterization workflows for magnetic and superconducting materials using techniques such as magnetometry (VSM/SQUID), transport measurements, and AC susceptibility
• Analyze and interpret complex datasets to extract materials properties including critical temperatures, field-dependent behavior, and magnetic ordering
• Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into closed-loop autonomous experimental workflows
• Develop and maintain protocols for sample preparation, instrument calibration, and quality control
• Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance
• Maintain accurate laboratory records and ensure compliance with safety and regulatory standards

Requirements

• PhD in Materials Science, Physics, Chemistry, or a related field
• 1–5 years of postdoctoral or industry experience
• Expertise in characterization of magnetic or superconducting materials (VSM, SQUID, PPMS, or equivalent)
• Strong understanding of the physics of magnetism, superconductivity, or related condensed matter phenomena
• Experience making measurements on materials and prototype devices
• Proficiency in quantitative data analysis and interpretation of structure-property relationships
• Effective written and verbal communication skills

Preferred Qualifications

• Familiarity with XRD, TEM, SEM, or spectroscopy
• Proficiency in Python for data analysis and workflow automation
• Experience in custom instrumentation
• Exposure to automated, high-throughput, or autonomous laboratory environments
• Background in multiple material classes such as oxides, intermetallics, thin films, or 2D materials

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.