Lead Exposure Data Scientist

Job Description

We have an exciting opportunity for a Lead Exposure Data Scientist at UL Research Institutes, based in our Morrisville, NC office.

The Lead Exposure Data Scientist will be responsible for assisting in the development and maintenance of the data analysis infrastructure to support Chemical Insights’ mission of advancing human and environmental health. This role focuses on developing data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and applying advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets.

The Lead Exposure Data Scientist works closely with Chemical Insights scientists and external collaborators to deliver high-quality scientific data that informs chemical exposure assessment, risk assessment, regulatory decisions, and public health guidance.

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.

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

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…