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Scientific Consultant

1 week ago


Vancouver, British Columbia, Canada EHS Support, Inc. Full time

At EHS Support, Inc., we are seeking a highly motivated and detail-oriented Scientific Consultant to join our team. As a Scientific Consultant, you will play a crucial role in assisting with the development of human health risk assessments under federal, state, and international regulatory programs.

Key Responsibilities:

  • Assist in the development of human health risk assessments under federal, state, and international regulatory programs.
  • Develop site-specific conceptual exposure models to characterize constituent fate and transport dynamics and identify human health receptors and complete exposure pathways.
  • Prepare toxicological and environmental dossiers using OECD and REACH guidance and databases compatible with Australian Industrial Chemicals Introduction Scheme (AICIS) and Department of the Environment and Energy (DoEE) requirements.
  • Obtain, organize, review, and synthesize environmental data in an organized and concise manner.
  • Analyze environmental data in support of investigation objectives and defined data quality objectives (DQOs) using Microsoft Excel, geographic information systems (GIS), or other programmatic software.
  • Engage in technical writing to report findings and interpretations of data analysis to support investigation objectives.
  • Communicate the findings of data analyses and interpretation to both lay and technical audiences.

Requirements:

  • 0-2 years of experience in consulting, with focus in human health risk assessment.
  • Commitment to a behavior-based safety culture.
  • Ability to support the implementation of field investigations of groundwater, drinking water, soil gas, indoor air, surface water, sediment, pore water, soil, and biological communities.
  • Experience analyzing environmental data, including robust understanding of Microsoft Excel.
  • Excellent oral and written communication skills.
  • Strong organizational skills and attention to detail and data quality.