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Research Scientist

Job in Honolulu, Honolulu County, Hawaii, 96814, USA
Listing for: Paradise Architectural PANELS & STEEL
Full Time position
Listed on 2026-01-04
Job specializations:
  • Research/Development
    Research Scientist
Job Description & How to Apply Below

Paradise Architectural PANELS & STEEL is seeking a highly motivated and experienced Research Scientist to join our dynamic team. As a leading manufacturer of architectural panels and steel products we are committed to continuous innovation and improvement and the Research Scientist will play a crucial role in driving our research and development efforts.

Key Responsibilities
  • Conduct research and experiments to develop new products and improve existing ones
  • Collaborate with cross-functional teams to identify research needs and priorities
  • Analyze and interpret data to draw conclusions and make recommendations
  • Develop and implement testing protocols and procedures
  • Stay up-to-date with industry trends and advancements to identify potential areas for improvement and innovation
  • Write technical reports and present findings to management and other stakeholders
  • Manage and maintain laboratory equipment and supplies
  • Ensure compliance with safety regulations and protocols
Qualifications
  • PhD in Materials Science Chemistry or related field
  • Minimum of 3 years of experience in a research and development role preferably in the manufacturing industry
  • Strong knowledge of materials testing and analysis techniques
  • Proficient in data analysis and statistical software
  • Excellent communication and presentation skills
  • Ability to work independently and in a team environment
  • Strong problem-solving and critical thinking skills

If you are passionate about research and innovation and want to be part of a dynamic and collaborative team we encourage you to apply for this exciting opportunity.

Key Skills

Laboratory Experience, Machine Learning, Python, AI, Bioinformatics, C / C++, R, Biochemistry, Research Experience, Natural Language Processing, Deep Learning, Molecular Biology

Employment Type:

Full Time

Experience:

years

Vacancy: 1

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