Fire Science Jobs in Washington (NOW HIRING)

This is a remote position.

The Research Scientist III works with data, develops preliminary findings, and prepares written reports and data visualizations that supports the research of the Fire Safety Research Institute (FSRI). The Research Scientist III works closely with other FSRI leaders and researchers to analyze data, and develop models associated with fire safety science to ensure all processes are accurate and technically sound.

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 the 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 into practice.

Fire Safety Research Institute (FSRI)

UL’s Fire Safety Research Institute (FSRI) advances fire safety knowledge to address the world’s unresolved fire safety risks and emerging dangers. As part of UL Research Institutes, we are committed to sharing our fire safety insights with everyone to advance UL’s public safety mission of providing safe living and working environments for people everywhere. Through advanced fire science, rigorous research, extensive outreach, and education in collaboration with our international network of partners, we share with stakeholders the information, tools, and resources that enable them to make better, more fire-safe decisions that ultimately save lives and property. To learn more, visit FSRI.org.

What you’ll learn and achieve:

As the Research Scientist III, you will play a key role in the rapid growth of UL as you:

• Identifies fundamental knowledge needed to enhance UL’s thought leadership and support the strategy of UL
  
• Applies intensive and diverse knowledge of engineering technology and systems engineering concepts to the specific research tasks. Exercises a high degree of judgment in formulating, evaluating, and correlating broad engineering research concepts and guiding the analysis of unique problems and developing new and improved techniques and methods.
  
• Analyzes emergency response data to determine trends and develop solutions.
  
• Experience developing automated test datasets and repeatable frameworks, data quality checks and validation scripts.
  
• Ensure data quality, lineage, and governance compliance using enterprise catalog tools.
  
• Stays ahead of changing technologies, in the field by reading journals and scientific publications, and attending academic conferences.
  
• Plan, design, and complete initial and follow-up tests as needed to validate results.
  
• Work with students and teams.
  
• Present research results internally or externally as needed.
  
• Perform other duties as directed.
  

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.
  

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

• Experience with ETL/ELT tools and modern data pipeline architectures.
  
• Experience with data validation, cleansing, and quality assurance methodologies.
  
• Experience testing and troubleshooting data pipelines, data integrations, and data transformation processes.
  
• Experience developing automated data quality checks and validation scripts.
  
• Excellent communication skills required.
  
• Demonstrated experience with cloud-based data platforms and analytics environments (AWS, Snowflake, Dash).
  
• Ability to collaborate with peers and work directly with Research Scientists and other team members in order to complete a project from start to finish.
  
• Ability to serve as lead author on reports and papers.
  

Professional education and experience requirements for the role include:

• Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field plus 8 or more years of directly related work experience or
  
• Master’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field plus 4 or more years of directly related work experience or
  
• PhD in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field or equivalent experience plus 2 or more years of directly related work 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.