Scientist II/Senior Characterization Scientist, Condensed Matter

As a Scientist II/Senior Scientist on the PS Experiment team at Lila Sciences, you will drive the development and implementation of advanced characterization workflows for magnetic and superconducting materials. You will be a core contributor to Lila's autonomous science platform, designing and executing high-throughput experiments that yield critical structural, magnetic, and transport data to guide materials discovery. Working at the intersection of experimental science, robotics, and AI, you will collaborate with experimentalists, systems engineers, and machine learning scientists to build scalable characterization workflows that accelerate the path to scientific superintelligence in superconductivity and magnetism.

• 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 across diverse material types and form factors.
• Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance.
• Maintain accurate laboratory records and ensure compliance with safety and regulatory standards.

• PhD in Materials Science, Physics, Chemistry, or a related field, with 1–5 years of postdoctoral or industry experience.
• Demonstrated expertise in characterization of magnetic or superconducting materials, including proficiency with one or more of: VSM, SQUID magnetometry, PPMS, or equivalent platforms.
• Strong understanding of the physics of magnetism, superconductivity, or related condensed matter phenomena.
• Experienced in making measurements both on materials and protoype devices
• Proficient in quantitative data analysis and interpretation of structure-property relationships in solid-state materials.
• Effective written and verbal communication skills with a track record of cross-functional collaboration.

• Familiarity with complementary characterization techniques such as XRD, TEM, SEM, or spectroscopy.
• Proficiency in Python or similar tools for data analysis and workflow automation.
• Experience in custom instrumentation
• Wide breadth of exporuse to different types of functional materials and applications
• Exposure to automated, high-throughput, or autonomous laboratory environments.
• Background in multiple material classes (e.g., oxides, intermetallics, thin films, or 2D materials).
• Comfort working in fast-paced, interdisciplinary research settings.

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