Senior Fisheries Data Scientist – Salmon Survival, Migration, and Mark-Recapture Modeling
$90,000–$125,000 year
On-siteSeattle, Washington, United States
Job Summary
Conduct statistical analysis of spatial and temporal variability in migrating salmon within river systems to inform management decisions on dam operations, habitat changes, and harvest limits. Develop novel probabilistic mathematical and simulation models representing complex ecological processes using Bayesian statistics and mark-recapture methods. Organize ecological datasets for mark-recapture modeling, document reproducible research workflows, and publish reports and scientific papers. Assist researchers during study design and provide statistical support for field data collection in freshwater, estuarine, and marine environments. Prepare status reports and present results at regional and national meetings.
Required Qualifications
- PhD degree from an accredited college or university with a major in a field of study related to the requirements of the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences
- Strong quantitative background with a solid foundation and extensive coursework in statistics and probability
- Ten or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region
- Advanced degree in a related field may be substituted for two years, MS, or four years, PhD, of experience
- Excellent verbal and written communication skills
- Experience writing reports and publishing peer-reviewed articles
- Strong quantitative skills, including extensive experience in statistical modeling and data analysis
- Extensive experience conducting analyses and coding in R
- Experience with programs Stan and JAGS
- Experience with open science concepts
- Strong computational skills, including the ability to manipulate large environmental datasets within a command-line environment, such as Linux/shell scripting, to support statistical workflows
- Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context
- Familiarity with common software including Google Suite and Microsoft Office
- Ability to manage workload, stay organized, and produce high-quality work products efficiently
- Ability to work both independently and on interdisciplinary teams
- Valid driver's license, maintained during the period of performance
- Knowledge and experience in Bayesian statistics and mark-recapture methods
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