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Lucas James Talent PartnersPosted 4 months ago

Principal Exposure Data Scientist - Chemical Insights Research Institute

On-siteMorrisville, North Carolina, United States

Full TimeSenior LevelDoctorate Or Professional DegreeSmall

Job Summary

Design and implement data analysis pipelines, artificial intelligence, and machine learning solutions to automate data extraction, curation, and quality evaluation of chemical exposure datasets. Develop and maintain ETL pipelines for efficient data exchange across diverse platforms, while extracting, curating, and harmonizing structured and unstructured exposure, product ingredient, and biomonitoring data. Collaborate with exposure scientists, toxicologists, and software engineers to link cross-disciplinary data, predict chemical functional use, and support regulatory decisions and public health guidance. Present research findings at conferences, co-author peer-reviewed publications, and contribute to research proposals and funding strategies.

Required Qualifications

  • Master's Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering
  • at least 6 years of relevant experience
  • Doctoral Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering
  • at least 4 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
  • Prior experience in developing quantitative structure-property relationship models to predict chemical functional use and exposure pathways

Desired Qualifications

  • 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
  • Excellent 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 and external stakeholders
  • Skilled in versioning best practices, i.e. GitHub, Code Commit

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