Research Scientist I/II, Computational Organic Electronics
Cambridge, Massachusetts, United States · On-site
$176k–$304k/yr
Senior$551M raised
Your Impact at LILA Your role will involve applying computational methods and AI to accelerate the discovery and design of organic electronics materials. You will use first-principles modeling, atomistic simulations, sci…
Your Impact at LILA Lila Sciences is scaling its Scientific Superintelligence platform, and we’re building the finance backbone to match. As the Finance Business Partner for our AI/ML and Infrastructure teams, you’ll par…
Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
London, England, United Kingdom · On-site
$228k–$358k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Machine Learning Scientist, Cofolding and Structure-Aware ML to train next-generation cofolding models for drug discovery. This role is focused on improving models that reas…
Skills: Machine learning, Deep learning, Cofolding, Protein-ligand modeling, Representation learning
Your Impact at LILA You will be the program owner for Physical AI — the shared infrastructure our autonomous labs run on. Working across multiple engineering teams, you'll turn the platform roadmap into a sequenced, depe…
Your Impact at LILA We are seeking an Enterprise Account Lead, Materials to define how Fortune 500 energy, manufacturing, and materials companies engage with the world's first platform for scientific superintelligence. Y…
Your Impact at LILA Lila Sciences is looking for an Associate Director / Director, Strategic Finance to join our Strategic Finance team. This role sits at the center of the highest-stakes financial workstreams in the com…
Scientist II / Senior ML Scientist, Data-Efficient Learning for Drug Discovery
London, England, United Kingdom · On-site
$228k–$358k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Machine Learning Scientist, Data-Efficient Learning for Drug Discovery to build models and learning strategies for settings where data is scarce, expensive, and intentionall…
Skills: Machine learning, Data-efficient learning, Drug discovery, Active learning, Meta-learning
Your Impact at LILA You will build the back-end and data foundations of the systems that schedule work across our autonomous labs, model them as digital twins, and turn raw experimental output into trustworthy, queryable…
Your Impact at LILA Lila is looking for a hands-on Site Services Coordinator to support day-to-day operations at the 10 Wilson site. This role keeps the workplace running smoothly by managing incoming and outgoing packag…
San Francisco, California, United States · On-site
$204k–$310k/yr
Senior$551M raised
Your Impact at LILA You'll own two connected but distinct areas. First, you'll decide which new scientific domain capabilities the Lila model should gain and how to build them — the right mix of reinforcement-learning en…
Your Impact at LILA As a Scientist II/Senior Melt Polymer Scientist on the Materials Formulation team at Lila Sciences, you will drive the development and optimization of solid polymers, such as hot melt adhesive systems…
Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
London, England, United Kingdom · On-site
$224k–$294k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Research Engineer, Scientific Computing and ML/Physics Infrastructure to help turn promising research tools into robust, scalable systems. This role bridges research and pro…
Your Impact at LILA Lila Sciences is seeking a Senior Manager, Capacity Planning to join the team as the company moves from research into commercial-scale operations. You will own the models, processes, and cross-functio…
Skills: Capacity planning, Strategic finance, Revenue operations, Data modeling, Integrated business planning
Your Impact at LILA Lila Sciences is seeking a Computational Biophysics Scientist to help ensure that our AI agents can use biophysics tools in ways that are scientifically correct, reliable, and useful for drug discover…
Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery
London, England, United Kingdom · On-site
$141k–$218k/yr
Senior$551M raised
Your Impact at LILA Lila Sciences is seeking a Scientist, Computational Chemistry, Drug Discovery to help guide, evaluate, and improve AI-driven drug discovery workflows. This person will bring practical computational ch…
Your Impact at LILA Lila Sciences is seeking a Computational Scientist I/II, Soft Matter Formulations - Complex Fluids to develop models, tools, and workflows that accelerate discovery across liquid and flowable soft mat…
Your Impact at LILA Lila is looking for a fall co-op to support the Enterprise Go-to-Market team as we build more proactive, structured, and data-informed ways to prioritize customer opportunities. This role will sit clo…
Your Impact at LILA Lila Sciences is seeking a Senior II/Staff Mechatronics Engineer to join our Advanced Engineering Team to design, develop, and optimize early-stage electromechanical systems, robotics subassemblies an…
Computational Scientist I/II, Soft Matter Formulations, Solids and Melts
Cambridge, Massachusetts, United States · On-site
$119k–$187k/yr
Mid level$551M raised
Your Impact at LILA Lila Sciences is seeking a Computational Scientist I/II, Soft Matter Formulations , Solids and Melts to develop models, tools, and workflows that accelerate discovery across polymeric and soft materia…
Research Scientist, Computational Condensed Matter Physics
Cambridge, Massachusetts, United States · On-site
$176k–$304k/yr
Senior$551M raised
Your Impact at LILA Your role will involve applying computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding. You will use first-princip…
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$176k–$304k/yr
Full-time
postgraduate degree
Medical coverage, Dental coverage, Vision coverage, Life insurance, Disability insurance, Flexible time off
Posted 10d ago
~40 hrs/week
Responsibilities
You will apply computational methods and AI to accelerate the discovery and design of organic electronic materials. You will collaborate with cross-functional teams to integrate simulations, models, and scientific reasoning into actionable discovery workflows.
Requirements
A PhD in a relevant scientific or engineering field is required, along with a strong foundation in computational materials science and chemistry. Candidates must possess deep expertise in organic electronics and proficiency in Python for scientific computing.
Full job description
Your Impact at LILA
Your role will involve applying computational methods and AI to accelerate the discovery and design of organic electronics materials. You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate structure-property relationships in organic and hybrid materials relevant to photovoltaics, semiconductors, optoelectronics, or electronic devices.
You will work at the intersection of physics-based simulation, AI/ML, and autonomous scientific workflows. The focus is on using computational insight to identify promising materials, explain structure-property relationships, guide optimization, and help agents reason over simulation and experimental data in scientifically grounded ways.
This is a hands-on research role for someone who can connect deep organic electronics and computational materials expertise with practical impact for customer-facing scientific programs. You will collaborate with computational scientists, AI researchers, software engineers, and experimental teams to turn simulations, models, and scientific reasoning into actionable hypotheses and discovery workflows.
What You'll Be Building
Apply computational modeling and AI for materials discovery and design of organic semiconductors, photovoltaic materials, molecular and polymeric electronic materials, and organic electronic devices.
Model charge transport, excited-state behavior, morphology-property relationships, and other fundamental mechanisms that influence organic electronic device performance.
Connect simulation outputs to experimental observations and develop workflows that close the loop between computation and experiment.
Build predictive models from computational and experimental data to guide materials selection and optimization.
Analyze simulation and experimental data to generate actionable materials hypotheses.
Partner with ML, software, and experimental teams on discovery workflows.
Communicate physical insights, model limitations, and recommendations to collaborators.
What You'll Need to Succeed
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.
Bonus Points For
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.
Ability to communicate physical insight, uncertainty, and model limitations to cross-functional collaborators.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a 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; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$176,000—$304,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are building the foundation to apply AI to every aspect of the scientific method, enabling scientists to bring forth solutions in human health and sustainability at a pace and scale never experienced before.
Based on 657 listings with disclosed salaries, most technology jobs in Cambridge, MA pay between $88k–$245k per year. Individual offers vary with seniority, company size, and specialization.
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