Research Scientist, Computational Condensed Matter Physics
Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA
CHECKED 14H AGO
Bio & Science AIonsite$176k–$304k
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