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Fisheries & Marine Science 🏢 Full Time ⭐️ Verified

Fisheries Scientist

PacificEdge Fisheries & Research
Seattle, WA
Salary Estimate
USD 85.000 – USD 125.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Join PacificEdge Fisheries & Research, a premier provider of scientific services to the commercial and recreational fishing sectors. Based in Seattle, WA, we are seeking a Fisheries Scientist to lead field surveys, data analysis, and stock assessments that inform sustainable harvest strategies.

In this full-time role, you will collaborate with researchers, fishery managers, and industry partners to deliver high-quality insights that support responsible resource management and resilient coastal economies.

This position offers a unique blend of fieldwork, data science, and stakeholder engagement, with opportunities to advance your career in marine science and contribute to meaningful conservation outcomes.

Responsibility

  • Design, plan, and execute field surveys to monitor fish populations, habitats, and bycatch indicators.
  • Analyze catch and effort data using R and Python to inform stock assessments and management advice.
  • Develop and maintain statistical models, growth curves, and stock projections under various scenarios.
  • Collaborate with researchers, managers, and industry partners to translate findings into practical policy and harvest strategies.
  • Ensure rigorous data quality, documentation, and compliance with regulatory standards.
  • Prepare technical reports, presentations, and stakeholder briefs for diverse audiences.
  • Oversee field teams during sampling campaigns and mentor junior staff on data collection methods.
  • Coordinate project timelines, budgets, and deliverables while communicating progress to leadership.

Qualification

  • Master's degree in Marine Biology, Fisheries Science, or a related field (PhD preferred).
  • 3+ years of hands-on experience in fisheries research, stock assessments, or aquaculture projects.
  • Proficiency in R and Python for data analysis; experience with SQL and GIS is a plus.
  • Strong knowledge of stock assessment methods (e.g., age-structured models, VPA, Bayesian approaches).
  • Excellent written and verbal communication; ability to present complex data to stakeholders and decision-makers.
  • Willingness to travel for fieldwork and to work in dynamic coastal environments.
  • Proven ability to work collaboratively in cross-disciplinary teams and manage competing deadlines.

Required Skills

data analysis R Python stock assessment fisheries management GIS field sampling report writing project management

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