Senior Research Statistician

The Senior Research Statistician will be responsible for providing statistical leadership and expertise to support the Underwriters Laboratories Research Institutes’ (ULRI) Chemical Insights mission to provide unbiased research on chemicals and their risks to people’s health. This role is responsible for designing statistically sound studies, analyzing complex datasets, and ensuring scientific rigor across interdisciplinary research projects. The Senior Research Statistician collaborates closely with internal scientists, data professionals, and external partners to deliver high-quality scientific outputs that inform chemical safety, risk assessment, regulatory policy, and public awareness.

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 Senior Research Statistician, you will play a key role in the rapid growth of UL as you:

• Design and implement advanced statistical methodologies to support experimental, observational, and longitudinal research studies related to chemical exposure and environmental health including dose-response modeling.
• Collaborate with cross-functional research teams to define research questions, hypotheses, sampling strategies, and statistical analysis plans.
• Conduct descriptive and inferential statistical analyses, including regression modeling, mixed-effects models, multivariate analysis, and uncertainty analysis.
• Perform power calculations and sample size determinations to support study design, grant proposals, and research protocols.
• Develop machine learning and other predictive models for chemical toxicity, exposure, and risk assessment.
• Clean, validate, and manage complex datasets to ensure data accuracy, completeness, and reproducibility.
• Interpret statistical results and translate findings into clear, scientifically defensible conclusions for technical reports, peer-reviewed publications, and stakeholder communications.
• Support the development of manuscripts, technical reports, and presentations, including contributing statistical methods sections and addressing peer review feedback.
• Ensure adherence to research standards, data governance policies, and ethical and regulatory requirements (e.g., NIH, NSF, IRB).
• Develop and maintain documentation of statistical methods, analysis workflows, assumptions, and limitations to promote transparency and reproducibility.
• Collaborate with data engineers, data scientists, and analysts to support data integration, analysis readiness, and effective use of research data.
• Provide statistical consultation and technical support to internal stakeholders throughout the research lifecycle.
• 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:

• Expert knowledge in statistical theory and applied research methodologies such as mixed-effects models, survival analysis, Bayesian inference, and survey statistics.
• Proficiency in predictive modeling using machine learning.
• Demonstrated ability to design and analyze research studies using appropriate statistical techniques.
• Proficiency in statistical programming and analysis tools such as R, SAS, SPSS, or similar software with a preference for R.
• Proven track record in analyzing and interpreting high-dimensional data (e.g., thousands of biological responses) using feature selection or regularization to avoid overfitting.
• Demonstrated ability to work with large, complex, and multi-source datasets.
• Knowledge of data quality, validation, and reproducibility best practices.
• Ability to communicate complex statistical concepts clearly to both technical and non-technical audiences.
• Strong problem-solving skills, attention to detail, and commitment to scientific rigor.
• Ability to work collaboratively in interdisciplinary research environments.

Professional education and experience requirements for the role include:

• Ph.D. in Statistics, Biostatistics, Mathematics, or a related quantitative field.
• Minimum 8 years of experience post degree in applying statistical methods in a research-focused environment.
• Demonstrated experience with toxicology, toxicokinetics, and chemical exposure data.
• Proven track record supporting research documentation, reporting, and publication efforts.