Senior Fisheries Data Scientist – Salmon Survival, Migration, and Mark-Recapture Modeling

About the role

Lynker Corporation is seeking a Senior Fisheries Data Scientist - Salmon Survival, Migration, and Mark-Recapture Modeling to support NOAA Fisheries’ Northwest Fisheries Science Center (NWFSC), Fish Ecology Division.

Responsibilities

• Provide statistical analysis to inform management decisions.
• Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems.
• Analyze survival and migration patterns through hydropower systems and across salmon life cycles.
• Analyze and generate relationships between fish responses, including density, growth, survival, and migration rate, and stressors such as environmental or ecological conditions, habitat metrics, and management actions.
• Develop novel probabilistic mathematical and simulation models representing unique and complex ecological and behavioral processes using modern statistical methods.
• Provide statistical support for other researchers during study design and analysis.
• Organize and curate ecological datasets relevant to mark-recapture modeling needs.
• Document and share reproducible research workflows and analytical protocols to support scientific transparency and peer collaboration.
• Publish reports and scientific papers, and present results at regional and national meetings and scientific conferences, as needed.
• Afford assistance with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed.
• Support analysis products archived in accessible and organized formats, including final data and models shared through public scientific repositories or interactive research dashboards.
• Prepare written status reports and other ad hoc communications, as needed.

Requirements

• 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.

Qualifications

• Valid driver’s license, maintained during the period of performance.

Skills

• Knowledge and experience in Bayesian statistics and mark-recapture methods.

Benefits

Comprehensive healthcare for the employee at no monthly cost
Healthcare benefit covers medical, prescription drug, dental, and vision
Personal Time Off (PTO) Policy plus paid holidays
Highly competitive compensation plan regularly calibrated against industry and location benchmarks
401(k) retirement plan with company-matching
Employee Stock Ownership Plan (ESOP) - we're all company owners!
Flexible spending accounts
Employee assistance program (EAP)
Short- and long-term disability insurance
Life and accident insurance
Tuition assistance/Training/Workforce improvement reimbursement per year
Spot bonuses for exceptional performance
Annual Employee Recognition Awards with bonuses
Employee Referral Program
Free centralized, self-directed Learning Management System to learn at your own pace
Personalized career growth plans for every employee

Pay

Compensation is commensurate with experience.

Schedule

The role may include assistance with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed, and may involve riding in vehicles and/or boats.

About Lynker

Lynker is a growing, employee-owned business, specializing in professional, scientific, and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost-effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively. Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions.

Additional Information

Lynker is an E-Verify employer. Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.