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Remote Battery Research Scientist Jobs in Park Ridge, IL

Scientist II, Translational Research

Chicago, IL ยท On-site +1

$100K - $150K/yr

... our Research, Engineering & Data Science teams. Work with Product and Engineering teams to ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

Senior Scientific Reviewer - Physics

Aurora, IL ยท On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

Senior Scientific Reviewer - Physics

Elgin, IL ยท On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Data Scientist II, Outcomes Research

Chicago, IL ยท On-site +1

$100K - $150K/yr

... scientists, engineers, and product developers to translate research into clinically actionable ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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Showing results 1-20

Remote Battery Research Scientist information

See Park Ridge, IL salary details

$49.7K

$128K

$171.2K

How much do remote battery research scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote battery research scientist in Park Ridge, IL is $128,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $170,200.00 per year, depending on experience, location, and employer.

What is a remote battery research scientist?

Remote Battery Research Scientists are professionals who conduct research and development on batteries and energy storage technologies while working from a remote location, rather than in a traditional laboratory or office. They use digital collaboration tools and often work with teams across the globe to design, test, and improve battery materials and systems. Their work is essential for advancing battery performance, safety, and sustainability in applications such as electric vehicles, renewable energy storage, and consumer electronics. Remote Battery Research Scientists typically have strong backgrounds in chemistry, materials science, or engineering, and are skilled in both experimental and computational research methods.

What are the key skills and qualifications needed to thrive as a remote battery research scientist?

To thrive as a Remote Battery Research Scientist, you need a strong background in electrochemistry, materials science, and data analysis, typically with a Ph.D. or advanced degree in a related field. Familiarity with simulation software, laboratory instrumentation, and data management tools, as well as experience with relevant safety protocols, is essential. Excellent problem-solving skills, self-motivation, and effective virtual communication are vital soft skills for collaborating remotely and advancing research. These competencies enable innovative battery research and efficient teamwork, even when working outside a traditional laboratory environment.

How do remote battery research scientists typically collaborate with laboratory teams and industry partners?

Remote Battery Research Scientists often use digital tools to communicate and collaborate with laboratory teams, project managers, and industry partners. They may participate in regular virtual meetings, share experimental data through cloud platforms, and contribute to joint research reports or publications. Effective remote collaboration requires strong communication skills and familiarity with collaborative research software. This structure allows for flexibility but also demands proactive engagement to ensure project alignment and timely progress.

What is the difference between Remote Battery Research Scientist vs Remote Battery Engineer?

AspectRemote Battery Research ScientistRemote Battery Engineer
Required CredentialsMaster's or PhD in Materials Science, Chemistry, or related fieldsBachelor's or Master's in Electrical, Mechanical, or Chemical Engineering
Work EnvironmentResearch labs, R&D departments, academic settingsProduct development teams, manufacturing, design departments
Industry UsagePrimarily in research, development, and innovation sectorsDesign, testing, and implementation of battery systems

The Remote Battery Research Scientist focuses on fundamental research and development of new battery materials and technologies, often working in labs or academic settings. In contrast, the Remote Battery Engineer applies engineering principles to design, test, and improve battery systems for commercial use. Both roles require technical expertise, but their focus areas and work environments differ significantly.

What job categories do people searching Remote Battery Research Scientist jobs in Park Ridge, IL look for?

The top searched job categories for Remote Battery Research Scientist jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Remote Battery Research Scientist jobs?

Cities near Park Ridge, IL with the most Remote Battery Research Scientist job openings:

AI Lead Research Scientist

Evanston, IL โ€ข Remote

Lucas James Talent Partners
Recruiting and Staffing Servicesย โ€ขย 11 - 50 employees

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


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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