Quantitative Modeler Needed
Integrated Statistics is looking for a Quantitative Modeler to support the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) Northeast Fisheries Science Center (NEFSC).
This position will support the Protected Species Branch (PSB) of NOAA NMFS NEFSC. PSB’s mission includes assessing the population status of protected species (cetaceans, sea turtles, seabirds, and seals) within U.S. waters, and evaluating threats to species and populations due to anthropogenic activities. Detailed assessments of species distributions and abundances are essential to understand broad scale spatial and temporal movements and behaviors. For risk assessment and mitigation of impacts, information on seasonal and inter-annual variability in distribution, ecology, and behavior at smaller spatial scales is used to estimate potential impacts on protected species due to localized activities (e.g., fishery bycatch, military exercises, energy exploration, shipping traffic, etc.).
The Quantitative Modeler will work on a project modeling spatial analysis of whales and other marine species, relative to fishing gear and aquaculture. The modeler will build on an existing software product to expand its capabilities and support its use by stakeholders.
DutiesThe Quantitative Modeler will take responsibility for these tasks:
- Rebuild the current R shiny app, or potentially develop another user interface. The goal is to improve graphics, maps, outputs, etc.
- Expand the current application to:
- Cover other whale species.
- Cover other gear types.
- Update and/or expand whale layers.
- Expand the geographical scope to Canada.
- Add the ability to input/collect data on stratified / targeted rope strength.
- Provide modeling support to GARFO Protected Resources Division.
- Collaborate with NEFSC staff on related economic analyses.
- Collaborate with aquaculture entanglement working group.
- Improve the gear threat model by expanding it to gather external data (such as entanglement of other species and location) and to work in collaboration with other organizations such as the New England Aquarium.
The Quantitative Modeler should possess these qualifications and skills:
- A Master's degree in Quantitative Ecology, Fisheries, or a closely related subject that involves spatial manipulation and analysis of multivariate data streams. Work experience may potentially be substituted.
- At least five (5) years of extensive experience working with and knowledge of:
- Statistical analyses using generalized linear or additive models;
- Bayesian hierarchical models;
- Development of species distribution models;
- Computer programming experience to create simulated object or animal distribution data;
- Commercial fishery observer data.
- Excellent programming skills in at least one of the following platforms of statistical software: R, Splus, SAS, AD Model Builder, Template Model Builder, or C++.
- Experience and understanding of basic statistical methods.
- Excellent communication skills both verbally and using written materials (including visual presentations), targeting a variety of audiences including technical, scientific, and the general public, as appropriate.
- Independent worker with strong time management skills and attention to detail.
- Able to adapt quickly to changing priorities and strict timelines.
The position is expected to last one year. The rate of pay will be dependent on skills and experience, and the position will be eligible for the benefits described on the Integrated Statistics website.
Integrated Statistics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, gender identity, sexual orientation, veteran status, or any classification protected by federal, state, or local law. Consistent with its obligations under federal law, Integrated Statistics is committed to taking affirmative action to employ and advance in employment qualified women, minorities, disabled individuals, special disabled veterans, veterans of the Vietnam era, and other eligible veterans. For assistance with accessibility of applications, posters, forms, and/or documents, please email the Integrated Statistics office.