Quantitative Predator-Prey Analytics & Data Synthesis

Ocean Associates, Inc.; Seattle (WA); On-site; USD 55,000 - 76,000; Full time

Job summary

Ocean Associates, Inc. is seeking a candidate to provide quantitative analysis, predation modeling, and data synthesis support to NOAA Fisheries, Northwest Fisheries Science Center, Fish Ecology Division in Seattle, WA.

The role involves handling large datasets, developing spatial-temporal models, and publishing results. The position requires a Doctorate in a related field, strong quantitative skills, and experience with R, GitHub, and GIS.

Qualifications

• PhD or equivalent with emphasis in geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.
• Strong background in quantitative skills and data analysis.
• Experience writing reports and publishing peer-reviewed articles; familiarity with workplace software.

Responsibilities

• Data compilation and spatial-temporal modeling to assess predator-prey distributions and predation rates.
• Synthesize findings in technical reports and peer-reviewed manuscripts; present results at meetings and conferences.
• Conduct ecological literature reviews on predator consumption, distribution, and environmental stressors.
• Provide field support including collection of fish and environmental data on the West Coast; operate outdoors in harsh conditions.
• Standardize and share data, workflows, and research products for transparency and reproducibility.

Skills

Quantitative analysis

Verbal & written comms

Open science concepts

Education

Doctorate in related field

Tools

R

GitHub

GIS

Job description

Ocean Associates, Inc. is seeking a candidate to provide quantitative analysis, predation modeling, and data synthesis support to NOAA Fisheries, Northwest Fisheries Science Center, Fish Ecology Division in Seattle, WA.

The role involves handling large datasets, developing spatial-temporal models, and publishing results. The position requires a Doctorate in a related field, strong quantitative skills, and experience with R, GitHub, and GIS.