Quantitative Analysis Data Science Support
On-siteSeattle, Washington, United States
Job Summary
Analyze spatial and temporal variability in fish abundance, composition, and responses to environmental stressors to support stock assessment models and simulations. Generate relationships between biological metrics and ecological conditions, contributing statistical expertise to evaluate cumulative effects across life cycles in estuarine and nearshore domains. Share comprehensive workflow protocols, reproducible scripts, and analysis products via open-source frameworks and collaborative repositories. Write status reports, contribute to journal manuscripts, and present findings at regional and national scientific conferences. Requires a doctorate in a related field with five years of experience in fisheries, ecology, or statistics, plus a valid U.S. driver's license and public trust clearance.
Required Qualifications
- Doctorate from an accredited college/university with an emphasis in a field related to the task order, including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics
- Five (5) or more years of relevant experience, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region
- Valid U.S. driver's license - required and maintained throughout the period of performance
- Public trust suitability; background investigation cleared prior to beginning performance
- Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101
- Strong quantitative skills including familiarity with modeling and data analysis
- Familiarity with software such as R, Python, GitHub and GIS, and with open-science concepts
- Excellent verbal and written communication
- Experience writing reports and publishing peer-reviewed articles
- Ability to manage workload, stay organized, and produce high-quality work efficiently
- Able to work independently and on interdisciplinary teams
Desired Qualifications
- Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience
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