Quantitative Analyst – COMPASS and Salmon Cycle Modeling

Quantitative Analyst – Compass And Salmon Life Cycle Modeling

Lynker Corporation is seeking a Quantitative Analyst – Compass and Salmon Life Cycle Modeling to support NOAA Fisheries' Northwest Fisheries Science Center (NWFSC), Fish Ecology Division, by developing and advancing the Comprehensive Passage (Compass) model for application in river systems. This proposed contract role will support statistical, computer, and quantitative ecological modeling used to evaluate effects of stressors and management actions across fish life cycles.

Hiring for this position will be contingent on contract award. Lynker will be operating under its FLOAT joint venture, a NOAA Pro Tech Fisheries 2.0 prime contract holder.

The NWFSC requires specialized quantitative analysis support to integrate empirical data with modeling so that litigation responses, permitting decisions, and stock forecasts are supported by the best available science. This role supports Compass and related life cycle modeling for the Columbia River basin and other systems, including work that addresses requests from the West Coast Regional Office in support of ESA litigation and permitting.

• 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.

• Master's degree in a related field.
• Advanced degree in a related field may be substituted for two years, MS, or four years, PhD, of experience.
• Experience with Bayesian statistical methods and mark-recapture analysis.
• Computational experience using command-line environments, such as Linux/shell scripting, for processing data.
• Experience with open science concepts.
• Experience with Bayesian modeling programs Stan and JAGS.

Work will…