Job Information
Quinault Indian Nation Fisheries Biometrician in Taholah, Washington
[Quinault Indian Nation]{times="" new="" roman="" cyr";="" font-weight:="" bold"=""}
[Division of Natural Resources]{times="" new="" roman="" cyr";="" font-weight:="" bold"=""}
[Department of Fisheries]{times="" new="" roman="" cyr";="" font-weight:="" bold"=""}
Career Opportunity -- [Fisheries Biometrician]{.underline}
Permanent, Full-Time. Salary $59,926 - $73,808/annual DOQ
Signing Bonus / Moving Costs Available for Qualified Candidates
Hybrid Option Available -- Based in Taholah, Washington
MINIMUM QUALIFICATIONS --
Bachelor's degree in Fisheries Science, Marine Biology, Quantitative Ecology, Biostatistics, or a related field and at least one year of experience in fisheries stock assessment, population dynamics modeling, or quantitative analysis of marine ecological data.
The Quinault Indian Nation is seeking a dedicated and experienced Fisheries Biometrician to join our Quinault Department of Fisheries team. The Fisheries Biometrician plays a crucial role in the assessment, management, and conservation of Quinault fisheries resources by applying statistical methods and modeling techniques to fisheries data. The individual will collaborate with multidisciplinary teams within and outside of the Quinault Department of Fisheries to analyze population dynamics, evaluate fishing practices, and inform sustainable management strategies. The ideal candidate will have a strong background in fisheries science, quantitative analysis, and statistical modeling, along with a passion for sustainable fisheries and ecosystem management.
JOB DUTIES INCLUDE --
Data Analysis and Modeling: Conduct statistical analyses of marine and freshwater fisheries data, including stock assessments, catch and effort data, biological samples, and environmental variables. Develop and apply mathematical models to estimate population parameters, assess fishery dynamics, and forecast future trends.
Stock Assessment: Implement methodologies for estimating fish stock abundance, biomass, growth rates, mortality rates, and recruitme