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Scientist Organic Electronics Jobs (NOW HIRING)

MI · On-site

$16.25 - $20.50/hr

... organic electronics that impacts the daily lives of people around the world. From engineers to chemists, Ph.D. scientists, technicians, lawyers and more, our UDC team is continuously advancing our ...

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Are you looking to power the next leap in the exciting world of advanced electronics? Do you want ... This role is ideal for a scientist with expertise in polymer and organic chemistry, materials ...

OLED), a global leader in organic light emitting diodes. Within our OLED Chemistry organization, we ... consumer electronics, then please come and join us! Job Summary: Are you passionate about ...

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Scientist Organic Electronics information

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$40.5K

$98.8K

$156.5K

How much do scientist organic electronics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for scientist organic electronics in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a scientist organic electronics?

A Scientist in Organic Electronics specializes in researching and developing electronic devices that use organic (carbon-based) materials instead of traditional inorganic semiconductors like silicon. Their work often involves designing, synthesizing, and testing new organic compounds for applications such as flexible displays, solar cells, and sensors. These scientists contribute to advancing technologies that are lightweight, flexible, and potentially more environmentally friendly than conventional electronics. They typically work in laboratories, collaborating with interdisciplinary teams to innovate and improve organic electronic materials and devices.

What are the key skills and qualifications needed to thrive as a scientist in organic electronics, and why are they important?

To excel as a Scientist in Organic Electronics, you need a strong background in chemistry, materials science, or physics, typically supported by a PhD or relevant research experience. Proficiency with characterization tools (such as SEM, AFM, and spectroscopy), device fabrication techniques, and data analysis software is often required. Strong problem-solving abilities, teamwork, and clear scientific communication help drive innovation and successful collaboration. These skills enable the development and optimization of advanced electronic materials and devices, which are critical for progress in this rapidly evolving field.

What are some common challenges faced by scientists in organic electronics when working on device fabrication?

Scientists in Organic Electronics often encounter challenges such as achieving consistent material quality, optimizing fabrication processes for reproducibility, and managing the sensitivity of organic materials to environmental factors like moisture and oxygen. Collaboration with cross-functional teams—such as materials scientists, engineers, and process technicians—is crucial to troubleshoot issues, refine device architecture, and scale up prototypes. Staying updated with rapidly advancing techniques and maintaining meticulous documentation are also essential for success in this role.

What is the difference between Scientist Organic Electronics vs Organic Electronics Engineer?

AspectScientist Organic ElectronicsOrganic Electronics Engineer
Required CredentialsMaster's or PhD in Chemistry, Physics, or Materials ScienceBachelor's or Master's in Electrical Engineering, Materials Science, or related field
Work EnvironmentResearch labs, academic institutions, R&D departmentsIndustrial labs, manufacturing facilities, product development teams
Employer & Industry UsageUniversities, research institutes, corporate R&DElectronics companies, startups, manufacturing firms
Common Search & ComparisonYesNo

The main difference between a Scientist Organic Electronics and an Organic Electronics Engineer lies in their focus. Scientists primarily conduct research and develop new materials or processes, often working in labs or academia. Engineers apply this research to design, develop, and optimize electronic devices and products for commercial use. Both roles require knowledge of organic materials, but their day-to-day tasks and work environments differ significantly.

What are popular job titles related to Scientist Organic Electronics jobs?

For Scientist Organic Electronics jobs, the most frequently searched job titles are:

Infographic showing various Scientist Organic Electronics job openings in the United States as of September 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Research Scientist I/II, Computational Organic Electronics

Cambridge, MA • Hybrid

Full-time

Posted 24 days ago


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.