Research Scientist in Computational Condensed Matter Physics, Lila Sciences (Cambridge, MA, USA)

Job Description

Lila Sciences is hiring a research scientist in computational condensed matter physics in Cambridge, Massachusetts. You will use electronic-structure methods and machine learning to find new materials. The posted base pay is US$176,000 to US$304,000 a year.

At a glance

• Role: Research Scientist, Computational Condensed Matter Physics
• Where: Cambridge, Massachusetts, USA
• Field: Electronic structure, quantum materials, superconductors and AI for materials
• Pay: US$176,000 to US$304,000 base a year, plus bonus potential and equity
• Level: PhD or equivalent experience
• Apply: open until filled (re-checked 22 November 2026)

About the computational materials research role

• Apply electronic-structure and phonon calculations to quantum materials, superconductors and electronic devices
• Combine first-principles modelling, atomistic simulation, scientific machine learning and agentic AI systems
• Link simulation results to experiments and build closed loops between computation and the lab
• Build predictive models from computed and measured data, and generate materials hypotheses
• Work with machine learning, software and experimental teams, and explain physical insight and model limits

Why this role matters

Lila pairs AI models with automated labs that run experiments. Your calculations can feed straight into real tests, which is rare in computational physics. It is a route from academic DFT work into applied industry research.

What Lila Sciences is looking for

• A PhD or equivalent experience in physics, materials science, chemistry, applied maths or a related field
• Strong grounding in computational condensed matter, electronic structure or atomistic simulation
• Deep knowledge of electronic-structure theory (DFT and beyond) for electronic, magnetic or quantum materials
• Experience using first-principles methods for materials discovery
• Familiarity with superconductors, quantum materials, semiconductors or device materials
• Strong Python and scientific-computing skills

Nice to have

• Amorphous materials, vibrational-property calculations and advanced electronic-structure methods
• AI and machine learning for computational materials science
• Agentic or autonomous science workflows, and closed-loop work with experiments

Pay and location

The posted base salary range is US$176,000 to US$304,000 a year, plus bonus potential and early-stage equity. The posting says USD ranges apply only to US-based positions. It does not mention visa sponsorship, so check this before you apply from India.

How to apply

Apply through the official Lila Sciences job posting. Lila Sciences’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 22 November 2026. Check the posting for location and work-authorisation details before you apply.

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