Research Scientist, Materials Characterization

Periodic Labs
Menlo Park
Workplace: OnsiteFull timeUSD 225,000 - 325,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: phdSkills: ["Scientific writing","Cross-disciplinary collaboration","Data integrity ownership","Experiment quality ownership","Clear communication"]

Build high-fidelity thermodynamic, transport, and spectroscopic measurements for materials, then scale characterization using rapid, high-throughput schemes that feed AI-guided discovery pipelines. Partner with AI and engineering teams to design automated analysis and autonomous property-characterization systems using robotics and programmable instrumentation. Own measurement quality and data integrity by defining data standards, metadata schemas, and documentation practices, while upholding lab safety for cryogenic and high-field equipment.

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Periodic Labs
Periodic Labs
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Research Scientist, Materials Characterization

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Job Summary

Build high-fidelity thermodynamic, transport, and spectroscopic measurements for materials, then scale characterization using rapid, high-throughput schemes that feed AI-guided discovery pipelines. Partner with AI and engineering teams to design automated analysis and autonomous property-characterization systems using robotics and programmable instrumentation. Own measurement quality and data integrity by defining data standards, metadata schemas, and documentation practices, while upholding lab safety for cryogenic and high-field equipment.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and perform high-fidelity thermodynamic, transport, and spectroscopic measurements for electronic, magnetic, and thermal material properties.
  • •Design and implement rapid, high-throughput property measurement schemes that feed AI-guided discovery pipelines.
  • •Collaborate with the AI team to implement automated data analysis and reasoning pipelines and design measurement-prediction feedback loops.
  • •Collaborate with engineering to develop autonomous property characterization systems using robotics and programmable instrumentation.
  • •Evaluate, procure, and commission instrumentation; define and enforce data standards, metadata schemas, and documentation practices while upholding lab safety standards.

Pay and Benefits

Salary: USD 225,000 - 325,000 annually

Key Requirements

  • •PhD in Physics, Materials Science, or related field with 5+ years of hands-on physical property characterization experience.
  • •Expertise in electronic and magnetic property measurements (e.g., resistivity, Hall effect, magnetometry, heat capacity).
  • •Strong background in cryogenic measurements and low-noise techniques, including lock-in methods and precision instrumentation.
  • •Proficiency with data analysis (e.g., Python/Jupyter) and disciplined data management practices.
  • •Excellent scientific writing, cross-disciplinary collaboration, and strong ownership of experiment quality.
Experience:5+ yearsMaterials sciencePhysical sciencesPhysics
Education:PhD / Doctorate in Physics, Materials Science, or related field
Skills:Scientific writingCross-disciplinary collaborationData integrity ownershipExperiment quality ownershipClear communication
Tech Stack:PythonJupyterRobotics

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Periodic Labs
Periodic Labs (periodic.com) — Public information about this company’s products, industry focus, size, funding, and headquarters is not available. Check the company’s official profiles or contact them directly for accurate details about their offerings and operations.
Industry: Other
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