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Research Scientist, Computational Condensed Matter Physics

Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA

CHECKED 14H AGO

Bio & Science AIonsite$176k–$304k
Apply on the lab’s site ↗

At a glance

Highlights

  • Use physics-based simulation and AI to accelerate materials discovery.
  • Investigate superconductors and quantum materials for electronic devices.
  • Close the loop between computation and experiment to guide optimization.

What they offer

  • Bonus potential
  • Generous early-stage equity
  • Medical, dental and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company-wide holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits and subsidized lunch

Ideal candidate

A hands-on condensed matter physicist who loves linking deep theory to real-world discovery. You thrive collaborating with AI and experimental teams to turn insight into materials breakthroughs.

Requirements

  • PhD or equivalent experience in Physics, Materials Science, Chemistry, Applied Mathematics, or a related field
  • Strong foundation in computational condensed matter physics, electronic structure, or atomistic simulation
  • Deep understanding of electronic-structure theory and application to electronic, magnetic, or quantum materials
  • Experience applying first-principles or atomistic methods to materials discovery, optimization, or understanding
  • Familiarity with superconductors, quantum materials, electronic materials, semiconductors, or device-relevant systems
  • Strong programming skills in Python and scientific computing workflows

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗