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Research Scientist I/II, Computational Organic Electronics

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

CHECKED 14H AGO

Bio & Science AIonsitemid-level$176k–$304k
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At a glance

Highlights

  • Use AI and physics-based simulation to discover organic electronic materials.
  • Model charge transport and excited-state behavior for device performance.
  • 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 including bike share
  • Company subsidized lunch program

Ideal candidate

PhD-trained materials researcher who loves organic electronics and connecting physics insight to real devices. Hands-on, curious collaborator eager to turn simulations and data into actionable discovery with AI and experimental teams.

Requirements

  • PhD or equivalent experience in Materials Science, Chemistry, Chemical Engineering, Mechanical Engineering, Physics or related field
  • Strong foundation in computational materials science and chemistry including electronic structure methods and large-scale atomistic simulations
  • Deep understanding of organic semiconductors, organic electronics, photovoltaics, optoelectronic materials, charge transport or related systems
  • Experience applying first-principles, molecular simulations or general atomistic methods to materials discovery or optimization
  • Ability to connect molecular, morphological and electronic structure features to device-relevant properties
  • 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 ↗