Quantitative Fisheries Scientist: Life-Cycle Modeling

Lynker; Seattle (WA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive healthcare

PTO Policy plus paid holidays

401(k) retirement plan with company-matching

Employee Stock Ownership Plan (ESOP)

Tuition assistance

Job summary

Lynker is seeking a PhD-level Quantitative Fisheries Scientist in Seattle to support NOAA Fisheries’ projects by quantitatively analyzing datasets for management decisions. This role involves modeling, simulations, and contributing expertise to support sustainable fisheries.

The position offers comprehensive benefits including healthcare, competitive compensation, and a 401(k) retirement plan. Candidates should have strong quantitative skills and familiarity with programming languages like R and Python. An on-site work environment is expected, with part-time telework authorized.

Qualifications

• Doctorate from an accredited college or university with emphasis in relevant fields such as fisheries, ecology, or statistics.
• Excellent verbal and written communication skills.
• Experience writing reports and publishing peer-reviewed articles.

Responsibilities

• Analyze spatial and temporal variability in abundance and composition of fish.
• Contribute programming and spatial analysis expertise to models and simulations.
• Write reports and contribute to journal manuscripts as needed.

Skills

Quantitative analysis

Communication skills

Data analysis

Modeling skills

GIS software familiarity

Programming languages (R, Python)

Education

PhD in relevant field

Tools

GitHub

Google Suite

Microsoft Office

Job description

Lynker is seeking a PhD-level Quantitative Fisheries Scientist in Seattle to support NOAA Fisheries’ projects by quantitatively analyzing datasets for management decisions. This role involves modeling, simulations, and contributing expertise to support sustainable fisheries.

The position offers comprehensive benefits including healthcare, competitive compensation, and a 401(k) retirement plan. Candidates should have strong quantitative skills and familiarity with programming languages like R and Python. An on-site work environment is expected, with part-time telework authorized.