Quantitative Analyst – COMPASS, Salmon Cycle Modeling

Responsibilities

• Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems.
• Evaluate effects of stressors and management actions across fish life cycles using statistical modeling, computer modeling, statistical analysis, quantitative ecological analysis, and other quantitative modeling techniques.
• Construct and implement models evaluating survival and migration through the hydropower system.
• Address requests by the West Coast Regional Office in support of ESA litigation and permitting.
• Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.
• Document and share reproducible research workflows and analytical products so others can easily interact with them and understand what was done.
• Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.
• Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed.
• Support development of assigned statistical and biological modeling components and integrate them into COMPASS and life cycle models for the Columbia River basin and others, as needed.
• Share modeling scripts, scientific methods, and research results through open-science platforms, such as Git Hub.
• Prepare written status reports and other ad hoc communications, as needed.

• Bachelor’s degree or higher, Master’s preferred, from an accredited college or university with a major in a field of study related to the requirements of the task order and a strong quantitative background with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.
• Three or more years of experience related to the task order.
• Excellent communication skills.
• Experience writing reports and contributing to peer-reviewed articles.
• Strong quantitative skills, including extensive experience in modeling and data analysis.
• Extensive experience executing statistical analysis and modeling in R, with an emphasis on strong skills coding in R.
• Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
• Ability to manage workload, stay organized, and produce high-quality work products efficiently.
• Ability to work both independently and on interdisciplinary teams.