Scientist II/Senior Characterization Scientist, Condensed Matter

The role

You will drive the development and implementation of advanced characterization workflows for magnetic and superconducting materials. You will design and execute high-throughput experiments to guide materials discovery using an autonomous science platform.

What you will do

• Design, execute, and optimize characterization workflows for magnetic and superconducting materials
• Analyze and interpret complex datasets to extract materials properties
• 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
• Maintain accurate laboratory records and ensure compliance with safety and regulatory standards

Required qualifications

• PhD in Materials Science, Physics, Chemistry, or a related field
• 1–5 years of postdoctoral or industry experience
• Demonstrated expertise in characterization of magnetic or superconducting materials
• 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

Nice to have

• 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

Benefits

• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits, including bike share memberships for office based employees
• Company subsidized lunch program

About the company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments to execute the scientific method autonomously.