Research Scientist I/II, Computational Organic Electronics
Lila Sciences · Cambridge, MA USA
Posted 26 days ago
or apply directly on Lila Sciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 26 days Lila Sciences's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Lila Sciences's roles list one
- Ghost-job risk at Lila Sciences
- high 89 stale, 2 reposted of 118 open
- Hiring momentum
- 155 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.
About this role
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
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Lila Sciences's posting. Read the full original.
Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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