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 Chemical Insights Research Institute, teams who conduct the research required to produce that knowledge and put it into practice.

Chemical Insights Research Institute:

The Chemical Insights Research Institute (CIRI) contributes to the protection of public health and well-being by conducting scientific research. Our research and initiatives let people around the world know what chemicals are in the air we breathe and how they affect human health and the planet. We share our research and knowledge through information and application tools with leaders in the scientific, business, and policy communities to raise awareness of human health risks stemming from emerging technologies. To learn more, visit: chemicalinsights.org What you'll learn and achieve: As the Lead Exposure Data Scientist, you will play a key role in the rapid growth of UL as you: Design and implement cutting-edge data science methods for chemical exposure. Work as part of a team to extract, curate, and harmonize structured and unstructured chemical exposure, product ingredient, biomonitoring, and environmental contamination data. Develop and implement quality assurance plans for data curation projects. Design and implement artificial intelligence and machine learning solutions to automate data extraction, curation, and quality evaluation of structured and unstructured data. Develop and implement data mapping and extraction, transformation, and load (ETL) pipelines for efficient exchange of data between established chemical safety and exposure data systems (e.g., IUCLID, MMDB, CPDat). Develop statistical and machine learning models to predict chemical functional use and exposure pathways. Collaborate with exposure scientists, toxicologists, analytical chemists, and toxicokinetic scientists to provide solutions for linking cross-disciplinary data, computational modeling, and interpreting experimental results. Work closely with software and database engineers to provide high-quality chemical exposure data for on-line software applications and decision support tools. Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders. Stay up to date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices. Present research findings at scientific conferences, stakeholder meetings, and technical forums. Serve as co-author on peer-reviewed publications and technical reports. Assist in writing research proposals and securing funding from internal and external sources. Provide technical support and troubleshooting for data-related issues. Perform other duties as assigned. 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: Proficiency in programming and statistical languages (e.g. Python, Java, R). Knowledge of machine learning, statistical modeling, and data visualization tools. Working knowledge of exposure science, chemistry, and toxicokinetics. Understanding of relational and non-relational database systems. Proven ability to participate in multidisciplinary teams on complex projects in a research setting. Demonstrated problem-solving and analytical capabilities, with the ability to adapt to new challenges and prioritize competing demands. Willingness to learn and research new concepts and technologies. Ability to communicate with technical and non-technical internal stakeholders. Skilled in versioning best practices, i.e. GitHub, Code Commit. Professional education and experience requirements for the role include: Master's Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 5 years of relevant experience; or Doctoral Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 3 years of relevant experience. Solid technical knowledge and experience working with R, Java or Python programming language, relational (SQL and Postgres) databases. Demonstrated experience in developing data extraction and curation workflows for structured and unstructured chemical exposure data in a research environment. 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 .

Salary Range:

Pay Type:

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