Research Scientist – Process Research Development at Universal Display in Wilmington

  • Company: Universal Display
  • Location: Wilmington, North America
  • Salary: $100K – $115K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-11

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Job description

Adesis Inc. is a subsidiary of Universal Display Corporation (Nasdaq: OLED) , a global leader in organic light emitting diodes. Within our OLED Chemistry organization, we engage in research and development of new materials for use in the fabrication of OLED devices leading to the next generation of OLED displays. Our R&D footprint encompasses almost 100,000 square feet of state-of-the-art laboratory and manufacturing space in two U.S. locations - New Castle and Wilmington, DE, centrally located in the Mid-Atlantic biotech/pharmaceutical hub. We are an extraordinary company looking for extraordinary talent! If you would like to be a part of a multi-disciplinary team of scientists and engineers working on fast-paced and innovative OLED research programs that will impact the next generation of consumer electronics, then please come and join us! Job Summary: The Research Scientist – Process Research Development will be part of the Enabling Technologies team. In this position, the scientist will develop innovative synthetic methodologies to realize novel OLED material designs. The position also involves reaction development, flow chemistry development, modeling, design, and synthesis of organic and organometallic compounds with an emphasis on researching the properties of these compounds in the context of OLED display engineering. In this role, you will collaborate with chemists and engineers to optimize syntheses and molecular properties to improve OLED materials and devices. Key Responsibilities: Identify and/or develop modern synthetic methodologies to solve challenging bond formations. Develop fit-for-purpose molecular assembly strategies to enable access to advanced OLED molecules, structural diversity studies, and drive down cost of goods. Develop quantitative understanding of critical process parameters using statistical tools such as Design of Experiments Use reaction kinetic models and understanding of reaction mechanisms to facilitate process optimization. Independently propose, direct, and perform scientific experiments, including developing new flow chemistry methodologies, batch to flow conversions, and synthetic procedures in support of OLED material synthesis. Coordinate with OLED chemistry colleagues to identify opportunities and solve synthetic challenges using Enabling Technologies team solutions and platforms. Design innovative materials and develop in-depth knowledge of organic electronic material properties, synthesis, and display applications. Perform design, synthesis, purification, analysis, and characterization of small to medium scale organic and/or organometallic compounds. Implement state-of-the-art synthetic methods to access novel organic and/or organometallic compounds. Collaborate with chemists and engineers to improve materials and devices. Stay up to date with scientific literature. Be able to write and interpret technical information and effectively communicate with peers within the team and across the organization. Accurately record experimental work within the electronic notebook(s). Maintain a clean and safe laboratory work area and follow all relevant safety policies. Be a responsible lab citizen. Required Qualifications: PhD in Organic or Organometallic Chemistry; post-doctoral experience or relevant industry experience is preferred. In-depth understanding and proven experience in multi-step synthesis and characterization of organic and/or organometallic compounds. Demonstrated in-depth understanding of organic and organometallic reaction mechanisms. Current knowledge in modern synthetic techniques and instrumentation, including but not limited to modern coupling methods, electrochemistry, C-H activation, flow chemistry, and high-throughput experimentation methodology, is preferred. Knowledge of modern data analytic tools, including machine learning, Design of Experiments, automated laboratory instruments (i.e. liquid/solid handling robots, autosampler), and analytical techniques (HPLC, GC, M

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