Lead Computational Toxicology Research Scientist - Chemical Insights Research Institute

Lead Computational Toxicology Research Scientist – Job Description

We have an exciting opportunity for a Lead Computational Toxicology Research Scientist at UL Research Institutes' Chemical Insights Research Institute, based in our Research Triangle Park, NC facilities. The Lead Computational Toxicology Research Scientist conducts advanced computational research to support the Underwriters Laboratories Research Institutes’ Chemical Insights mission to provide unbiased research on chemicals and their risks to people's health. This role focuses on building computational models that integrate, analyze, and interpret in vitro and in vivo toxicological data to assess potential human hazards and health risks.

The Lead Computational Toxicology Research Scientist works closely with other internal scientists and external collaborators to deliver high-quality scientific outputs that inform chemical safety, risk assessment, regulatory policy, and public awareness.

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 team who conduct the research required to produce that knowledge and put 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: chemical insights.org/

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

• Design and execute computational toxicology studies aligned with ULRI’s Chemical Insights mission for understanding chemical safety.
• Develop and apply advanced computational toxicology methods that analyze, integrate, and interpret complex in vitro and in vivo toxicological and toxicokinetic data sets. Translate these in vitro screening data and toxicokinetic information into useful information for understanding systemic and targeted toxicities posed by chemical exposure.
• Apply and deepen knowledge of exploratory data analysis, statistics, machine learning to provide impactful analysis of data from new approach methods.
• Lead the development and application of data pipelines for targeted screening data and collaborate with other computational scientists on data pipelines for broad profiling data from transcriptomic and high content imaging experiments.
• Collaborate with cheminformatic and exposure scientists to help select chemicals for additional characterization, develop quantitative structure activity relationship models, and other cross-disciplinary tasks.
• Oversee extraction, curation, and quality evaluation of unstructured and structured data from in vivo toxicological studies, and help maintain reference databases of in vivo toxicological studies from diverse regulatory and non-regulatory sources.
• Collaborate with software developers and data engineers to incorporate in vitro and in vivo toxicological data sets into on-line dashboards and decision support tools.
• Collaborate with chemists, toxicologists, exposure scientists, statisticians, and other multidisciplinary team members to utilize in vitro toxicological data for chemical safety assessments.
• Provide technical expertise in study design, data interpretation, and quality…