Senior Fishery Ecologist — IPM & Bayesian Modeling

Pacific States Marine Fisheries Commission; Cook (WA); On-site; USD 96,000 - 125,000; Full time

Benefits offered by this job

Travel up to 10%

Life, LTD & AD&D plan

Vacation 120–192 hours over years

Job summary

Pacific States Marine Fisheries Commission is recruiting a highly motivated Fishery Biologist 3 - Ecologist to support USGS WFRC in Columbia River research. The role centers on leading quantitative analyses, developing population models, and contributing to peer-reviewed work.

The successful candidate will collaborate with the Quantitative Ecology Team, mentor staff, and communicate complex results to managers and partners.

Qualifications

• Ph.D. (or equivalent) in Fisheries Science, Quantitative Ecology, Biometrics, Applied Statistics, or related field.
• Advanced quantitative methods: Bayesian inference, mark-recapture, IPMs, spatial/temporal models.
• Proficient in R and Bayesian software; reproducible research workflows.
• Peer-reviewed publication track record in quantitative ecology or fisheries science.

Responsibilities

• Lead design and execution of complex statistical analyses on fish populations and ecological processes.
• Develop and apply IPMs and advanced mark-recapture models to telemetry data.
• Lead authorship of peer-reviewed publications and technical reports.
• Present findings to managers, stakeholders, and interagency partners.
• Mentor junior staff and collaborate across interdisciplinary teams.

Skills

Ph.D.-level expertise

Bayesian statistics

R programming

Scientific communication

Education

Ph.D. in Fisheries Science or related field

Bachelor's in biological sciences with aquatic/animal science coursework

Tools

R (Bayesian software)

Job description

Pacific States Marine Fisheries Commission is recruiting a highly motivated Fishery Biologist 3 - Ecologist to support USGS WFRC in Columbia River research. The role centers on leading quantitative analyses, developing population models, and contributing to peer-reviewed work.

The successful candidate will collaborate with the Quantitative Ecology Team, mentor staff, and communicate complex results to managers and partners.