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Senior Research Statistician

LinkedIn UL Research Institutes Morrisville, NC
Not Applicable Posted April 4, 2026 Job link
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Requirements
  • 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.
  • 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.
Preferred Skills
  • Proficiency in statistical programming and analysis tools such as R, SAS, SPSS, or similar software with a preference for R.
Education
  • (Not required) – Ph.D. in Statistics, Biostatistics, Mathematics, or a related quantitative field.
  • (Required) – Minimum 8 years of experience post degree in applying statistical methods in a research-focused environment.