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Remote Polymer Jobs in Illinois (NOW HIRING)

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Remote Polymer information

What does a remote polymer engineer do?

A Remote Polymer Engineer specializes in the design, development, and testing of polymer materials and products while working from a remote location. They may be involved in researching new polymer blends, improving manufacturing processes, and collaborating with teams virtually to solve technical challenges. Their work supports industries like automotive, medical devices, electronics, and packaging by ensuring materials meet specific performance and safety standards. Remote Polymer Engineers utilize digital tools for simulations, data analysis, and communication, making it possible to contribute to projects from anywhere.

What are some common challenges faced by remote polymer scientists, and how can they be effectively addressed?

Remote polymer scientists often face challenges related to limited access to laboratory equipment and direct collaboration with colleagues. To overcome these, many professionals leverage virtual lab simulations, collaborate closely with on-site teams for experimental work, and utilize cloud-based data analysis tools. Regular virtual meetings and clear communication protocols are essential for staying aligned with project goals and timelines. Building a proactive approach to remote problem-solving and time management can also help ensure productivity and successful outcomes.

What are the key skills and qualifications needed to thrive as a polymer engineer working remotely, and why are they important?

To thrive as a Remote Polymer Engineer, you need a strong background in polymer science, materials engineering, and problem-solving, often supported by a relevant engineering degree. Familiarity with CAD software, simulation tools, and laboratory data analysis systems is typically required, along with knowledge of industry-specific standards. Excellent communication, self-motivation, and time management skills are crucial for effective collaboration and productivity in a remote setting. These skills and qualities ensure the successful development and testing of polymer materials while maintaining efficiency and teamwork outside a traditional office environment.

What is the difference between Remote Polymer vs Remote Chemical Technician?

AspectRemote PolymerRemote Chemical Technician
Required CredentialsDegree in Polymer Science, Chemistry, or related fieldDegree or certification in Chemistry, Chemical Engineering, or related
Work EnvironmentLaboratory, manufacturing, or research settings (can be remote for design/analysis)Laboratory or industrial settings (remote roles often focus on data analysis)
Industry UsagePlastics, polymers, materials science companiesChemical manufacturing, pharmaceuticals, or materials industries
Common Search/ComparisonRemote Polymer vs Remote Chemical Technician

Remote Polymer and Remote Chemical Technician roles share similarities in required chemistry-related credentials and industry usage. However, Remote Polymer positions often focus on polymer design, research, and development, while Remote Chemical Technicians typically handle testing, quality control, and lab analysis. Both roles can be performed remotely for certain tasks, but their core responsibilities and industry applications differ.

What are the most commonly searched types of Polymer jobs in Illinois?

The most popular types of Polymer jobs in Illinois are:

What cities in Illinois are hiring for Remote Polymer jobs?

Cities in Illinois with the most Remote Polymer job openings:

AI Lead Research Scientist

Lucas James Talent Partners

Evanston, IL • Remote

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Lucas James Talent Partners is recruiting on behalf of UL Research Institutes. We have an exciting opportunity for a Lead Research Scientist in AI at UL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity.

The Lead Research Scientist in AI directs advanced research in natural language processing (NLP) and large language models (LLMs) to support Digital Safety’s mission. This role leads research in NLP and LLM safety including literature surveys, experimental design, AI/software engineering, data acquisition, data analysis, and documentation necessary to execute comprehensive experimental studies. The Lead Research Scientist establishes research concepts and criteria to resolve major problems in current programs or approaches. Projects require substantial knowledge of state-of-the-art AI/software engineering principals and theories and uses professional concepts and procedures to solve a wide range of research-based problems.

UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.

Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put it into practice.

Digital Safety Research Institute:
The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world’s digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithms, and disinformation threats by working to create a new digital safety ecosystem.
DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere.

What you’ll learn and achieve:
As the Lead Research Scientist in AI, you will play a key role in the rapid growth of UL as you:
  • Formulate, design, and manage independent test and evaluation research programs to protect the public from AI systems harms – focusing on testing systems enabling the most public harm.
  • Lead and contribute to the development of competitive research proposals, including defining scope, methodology, and deliverables, to secure funding for independent AI test and evaluation research programs.
  • Serve as a principal investigator Digital Safety’s independent test and evaluation research programs in NLP and LLMs, providing scientific leadership and accountability for program outcomes, timelines, and deliverables
  • Apply intensive and diverse knowledge of technology and AI/software engineering concepts to execute and manage specific research programs.
  • Analyze experimental results to determine causes of problems and develop solutions, and evaluates technical specifications and factors related to process or design objectives.
  • Plan, design, and complete initial and follow-up procedures as needed to validate the testing and evaluation results.
  • Plan, design, and execute research challenges, using and improving Digital Safety’s evaluation tools, to lead the NLP and LLM community to solve problems of importance to transition partners.
  • Propose and host workshops at leading research conferences in AI safety where research challenge winning methods and their comparative results are discussed to move the field forward in producing results that can have impact in public safety.
  • Stay ahead of changing technologies in the field by reading papers and scientific publications and attending academic conferences.’
  • Contribute to and/or lead other department specific and cross-functional initiatives.

What you’ll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You’ll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today’s global challenges require.
  • Interesting work: Every day is different for us here. We see what’s on the horizon and use our expertise to build the foundations of a safer future. You’ll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.
What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Expert knowledge of AI/software engineering disciplines.
  • Demonstrated experience to secure research funding through competitive proposal development.
  • Demonstrated experience to lead research programs and serve as principal investigator, driving accountability for scientific outcomes and program execution.
  • Demonstrated ability to attract invitations to give keynote presentations.
  • Excellent communication skills required.
  • Advanced AI/software engineering and data analysis skills.
  • Ability to collaborate effectively with research scientists, engineers, and external partners to deliver research outcomes
  • Ability to publish research results at leading academic conferences.

Professional education and experience requirements for the role include:
  • PhD in computer Science (with a focus on NLP or LLMs) plus 6 or more years of directly related research experience.
  • Master’s degree in computer science (with a focus on NLP or LLMs) plus 8 or more years of directly related research experience.
Bachelor’s degree in computer science (with a focus on NLP or LLMs) plus 12 or more years of directly related research experience.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.





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