Quantitative Analyst; COMPASS Modeling

Quantitative Analyst (COMPASS Modeling)

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for a Quantitative Analyst to support National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE).

Primary Function:

The Quantitative Analyst supports the FED by developing and advancing the Comprehensive Passage (COMPASS) model to evaluate the effects of stressors and management actions across fish life cycles in river systems. This position applies statistical modeling, computer modeling, quantitative ecological analysis, and other quantitative modeling techniques to produce management-ready products that inform ESA litigation responses, permitting decisions, and hydro system management for Pacific salmon in the Columbia River basin and other West Coast systems.

Duties / Responsibilities:

• 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.
• 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., Git Hub) so that others can easily interact with them and understand what was done.
• 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.
• Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This involves operating outdoors in sometimes harsh conditions in or around water, and may involve riding in vehicles and/or boats.

Compensation:

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

• 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
• Excellent communication skills, and experience writing reports and contributing to peer-reviewed articles.
• Strong quantitative skills including extensive experience in modeling and data analysis.
• Extensive experience executing statistical analysis and modeling in R, with an emphasis on strong skills coding in R.
• 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 manage workload, stay organized, and produce high-quality work products efficiently.
• Ability to work both independently and on interdisciplinary teams.
• Must possess and maintain a valid driver's license during the period of performance.
• Must be able to pass a background investigation and be suitable for public trust classification prior to beginning performance.

Preferred Qualifications:

• Master's degree in a related quantitative or natural…