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Research Scientist I/II, Computational Organic Electronics

Lila Sciences
Location
Cambridge, MA USA
Posted
1 month ago
Department
Physical Sciences AI
What they actually want (must-haves)
  • PhD or equivalent experience in Materials Science, Chemistry, Chemical Engineering, Mechanical Engineering, Physics, or a 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 device-relevant materials systems
  • Experience applying first-principles, molecular simulations, or general atomistic methods to materials discovery, optimization, or understanding
  • Ability to connect molecular, morphological, and electronic structure features to device-relevant properties
  • Strong programming skills in Python and scientific computing workflows
Nice to have
  • Experience studying organic photovoltaics, organic semiconductors, polymer electronics, molecular electronics, perovskite-organic interfaces, or related materials systems
  • Experience applying AI/ML to computational materials science, molecular simulations, or other physics-based simulations
  • Strong familiarity with agentic AI systems, autonomous scientific workflows, or simulation-aware agents
  • Experience integrating computational predictions with experimental characterization, device measurements, or closed-loop optimization workflows
  • Familiarity with charge transport modeling, excited-state calculations, morphology generation, coarse-graining, and/or multiscale and multiphysics simulations
What the job really is

In this role, you will apply computational methods and AI to advance the discovery and design of organic electronics materials. Your work will involve using modeling and simulations to explore structure-property relationships and optimize materials for applications in photovoltaics and electronic devices. Collaboration with various teams will be essential to translate computational insights into actionable hypotheses and workflows.

Benefits
  • Competitive base compensation with bonus potential and generous early-stage equity
  • Comprehensive benefits program including medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with generous company-wide holidays
  • Paid parental leave
  • Educational assistance program
Things to weigh
  • No specific salary figure mentioned beyond the range of $176,000 to $304,000 USD
  • The role requires a strong combination of computational and experimental collaboration, which may require diverse skill sets
  • The focus on AI and autonomous workflows may imply a fast-paced and evolving work environment
Job score3.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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