Scientist I/II, Characterization and Composition Analysis

Highlights

• Turn elemental measurements into trusted data for AI-driven discovery.
• Own data quality for autonomous materials discovery workflows.
• Build software that makes lab outputs reliable at scale.

What they offer

• Competitive base compensation with bonus potential and early-stage equity
• Medical, dental, and vision coverage
• Flexible time off with company-wide holidays and paid parental leave
• Educational assistance and commuter benefits with subsidized lunch

Ideal candidate

Experimentalist at heart who loves both the instrument and the keyboard, turning careful measurements into clean, reusable data. You thrive collaborating across science, automation, and AI to accelerate discovery.

Requirements

• PhD in Materials Science, Chemistry, Physics, Engineering or related field, or MS with equivalent experience
• Hands-on experience with XRF, SEM-EDS, and WDS for elemental analysis
• Knowledge of signal generation, matrix effects, calibration and quantification
• Experience preparing standards, validating methods and troubleshooting measurements
• Proficiency with Python for data analysis, automation or analyzer development
• Experience writing notebooks and maintaining shared, tested version-controlled code
• Ability to translate workflows into structured, machine-readable data