Quantitative Analyst — COMPASS Modeling
On-siteSeattle, Washington, United States
Job Summary
Develop and advance the Comprehensive Passage (COMPASS) model for river systems to evaluate stressor effects and management actions across fish life cycles. Construct and implement survival and migration models addressing West Coast Regional Office requests for ESA litigation and permitting. Collaborate with regional managers to structure, synthesize, and manage environmental and biological data, then document reproducible workflows and share analytical products via open-science platforms. Write reports, contribute to journal manuscripts, and present results at regional and national meetings. Assist with field collection of fish and environmental data as needed, including riding in vehicles and boats. Requires a Bachelor's degree with a quantitative background, three years of relevant experience, and strong R coding skills. Valid U.S. driver's license and public trust suitability are required.
Required Qualifications
- Bachelor's degree or higher from an accredited college/university with a major related to the task order and a strong quantitative background, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences
- Three (3) or more years of experience related to the task order
- Valid U.S. driver's license
- 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
- Extensive experience in modeling and data analysis
- Extensive experience executing statistical analysis and modeling in R
- Strong R coding skills
- Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context
- Familiarity with common workplace software such as Google Suite and Microsoft Office
- Excellent communication skills
- Experience writing reports and contributing to peer-reviewed articles
- Ability to work independently and on interdisciplinary teams
Desired Qualifications
- Master's degree
- Advanced degree in a related field
- Experience with Bayesian statistical methods and mark-recapture analysis
- Computational experience with command-line environments (e.g., Linux/shell scripting)
- Experience with open-science concepts
- Experience with Bayesian modeling programs Stan and JAGS
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