aisobservers

Quantitative Analyst (COMPASS Modeling)

Seattle, Washington · Contract

Sponsorship not specifiedDetected 5 days ago

C++BashGitLinuxStatisticsResearchCommunication

About the role

Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.
Ensure all analyses are conducted with accepted methods and QA/QC, and that modeling components are completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.
Prepare written status reports and other ad hoc communications as needed.

Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address requests by the West Coast Regional Office in support of ESA litigation and permitting.
Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.
Document and share reproducible research workflows and analytical products via open-science platforms (e.g., GitHub) so that others can easily interact with them and understand what was done.
Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems to evaluate effects of stressors and management actions across fish life cycles using a combination of statistical modeling, computer modeling, statistical analysis, quantitative ecological analysis, and other quantitative modeling techniques.
AIS is looking for a Quantitative Analyst (Comprehensive Passage (COMPASS) modeling) to support National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE).

Bachelor's degree from an accredited college or university with a major in a field of study related to statistics, mathematics, fisheries, ecology, or the natural sciences.
Three (3) or more years of experience
Strong quantitative skills including extensive experience in modeling and data analysis.
Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
Familiarity with common software used in the workplace such as Google Suite and Microsoft Office.
Ability to work both independently and on interdisciplinary teams.
Must be able to pass a background investigation and be suitable for public trust classification prior to beginning performance.

Master's degree in a related quantitative or natural science field.
Experience with Bayesian statistical methods and mark-recapture analysis.
Experience with Bayesian modeling programs Stan and JAGS.
Computational experience utilizing command-line environments (e.g., Linux/shell scripting) for processing data.
Experience with open science concepts and platforms.
Travel is anticipated.
Personnel may periodically be required to drive Government vehicles
when a Government vehicle is not available, mileage on a personal vehicle is reimbursed in accordance with the Federal Travel Regulation.

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience.

AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law

This listing is sourced directly from aisobservers's careers page and normalized into a canonical job model.