This will be a full-time position. Work will be performed on-site at a Northeast Fisheries Science Center, as well as aboard research vessels in the Northwest Atlantic Ocean, or remotely in coordination with the COR and Project Lead. The contract has a one-year base period and will have up to three (3) 12-month option periods.
Duties:
- Build ML/AI models for marine resources and species of the Northeast U.S. Shelf from NEFSC advanced technology data.
- Construct pathways and workflows for applying developed models, pipelines, data storage and processing for reproducibility and replicability.
- Manage large databases using both land-based servers and cloud storage.
- Statistically analyze machine learning results to understand model uncertainties and improve our ecological understanding of marine resources.
- Produce documentation of protocols for data collection, data auditing, and data analyses.
- Produce documentation and conduct data review and analysis from associate computer programming and analyses.
- Produce publications of scientific methods and findings in peer-reviewed manuscripts and technical documents to support fisheries science machine learning, stock assessments, and fisheries management.
- Coordinate and collaborate with researchers and data users in multiple groups at the NEFSC, Greater Atlantic Regional Fisheries Office (GARFO), and other FMCs, including data sharing, analysis, and documentation.
- Develop materials and present research at scientific conferences and stock assessment and other technical meetings, to fisheries managers, and at outreach events.
- Assist with the development of project reports for NEFSC, NOAA HQ, Fisheries Management Councils, Peer-Review Panels, and others.
- Assist in developing technical reports and proposals for competitive funding.
- Participate in NEFSC research projects and at-sea surveys as time permits and as needed.
Minimum Qualifications:
- Bachelor’s degree with six (6) years’ experience, or Master’s degree with four (4) years’ experience, or PhD with one (1) year experience; degree and experience must be directly related to the individual requirement.
- Experience analyzing large data sets.
- Extensive experience with identifying, interpreting, analyzing, and applying a range of established approaches and solutions to tests, problems, or issues.
- Experience writing reports or scientific publications.
- Current MS Office and Google Workspace skills.
- Expertise with PL/SQL, R, C, Python, Linux, VIAME, Terraform, and/or other programming languages.
- Hold a valid driver’s license with the ability to operate a Federal motor vehicle.
Salary range: $80,000 – $90,000 annually, dependent upon experience.
