Diadromous Fisheries Analyst Needed
Integrated Statistics is looking for a Diadromous Fisheries Analyst to support the National Oceanic and Atmospheric Administration (NOAA) National Marine Fishery Service (NMFS) Atlantic Salmon Ecosystems Research Team (ASERT), as it conducts field and desktop research investigating the marine ecology of Atlantic salmon and the role of diadromous fish as prey for nearshore Gulf of Maine predators.
Remnant populations of US origin Atlantic salmon are listed as endangered under the Endangered Species Act. Atlantic salmon abundance has declined since the 1990s and has remained low despite diverse population structures and management regimes, suggesting that conditions experienced in common marine areas in the Northwest Atlantic may be responsible for current abundance trends.
The Diadromous Fisheries Analyst will assist with field tasks, including all necessary preparations, sampling, tagging, post-project cleanup and equipment maintenance, and inventorying. The Analyst will collaborate on data auditing and analysis, and will assist with the development of peer-reviewed manuscripts for publication, with potential for presenting project-related results at scientific conferences and other public forums to increase awareness and strengthen partnerships in these areas of research.
The Diadromous Fisheries Analyst will take responsibility for these tasks:
- Successful preparation and maintenance of equipment and supplies to support various field sampling programs, including organizing shipping of all required supplies to international collaborators. Completion of all necessary training in support of domestic and international hazardous and non-hazardous goods shipping will be supported and required.
- Support and participation in diverse and various field sampling programs as required.
- Supporting ASERT staff in the compilation of data and information necessary to support ongoing domestic and international science and management efforts.
- Working with ASERT staff and collaborators to develop manuscripts and poster/oral presentations summarizing various topics related to diadromous fish ecology in the Northwest Atlantic.
- Master's degree or higher in a biological field of study that included ecology-based coursework.
- Developed R language programming skills.
- Demonstrated organizational skills and ability to audit, perform quality control/assurance, and summarize data. Demonstrated graphical, mapping, and statistical analysis skills.
- Demonstrated writing skills and successful delivery of timely and usable documents.
- Ability to work independently and to work effectively in a team setting.
- Track record of success in conducting field work and participating in scientific surveys.
- Familiarity with diadromous fishes; knowledge of Atlantic salmon and Gulf of Maine fishes is preferred.
- Familiarity with diet analysis, predator-prey dynamics, tagging/tracking of fish, predator/prey energy density dynamics is preferred.
- Experience presenting at local, domestic, or international scientific and/or public meetings.
- Valid US driver license. Valid passport and ability to travel throughout North America, Greenland, and Europe. Willingness and ability to travel domestically and internationally, sometimes for multiple weeks, to participate in field programs, to attend meetings.
- Willingness to work overtime in support of assigned activities, especially during field programs.
- Ability to comply with EO 14042.
The position is full-time and is expected to last one year, with the possibility of extension. The position will be based in Woods Hole, MA. The rate
of pay will depend on skills and experience, and the position is
eligible for the benefits described on the Integrated Statistics
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.