*Position is Subject to Contract Award
POSITION DESCRIPTION:
Description of Duties:
- Integrate spatial and remotely sensed datasets across freshwater, estuarine, and nearshore marine habitats using advanced GIS analysis.
- Compute spatial indices from large datasets (e.g., prey availability, predator abundance, habitat conditions) for use in assessment tools.
- Contribute to incorporation of spatial datasets and indices into fish life cycle models used to evaluate management scenarios.
- Lead data processing and visualization; share compiled data, workflow protocols, and research products.
- Collect fish and environmental data in the field (harsh conditions; may involve driving vehicles/boats/trailers and occasional ship-survey assistance).
- Write reports, contribute to journal manuscripts, and present results at regional meetings and scientific conferences, as needed.
EDUCATION & EXPERIENCE:
Required:
- Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order, with emphasis in fisheries, ecology, natural sciences, mathematics, statistics, oceanography, or hydrology.
- Experience: Three (3) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.
Desired:
- Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience.
CERTIFICATIONS:
Required:
- Valid U.S. driver's license - required and maintained throughout the period of performance.
- Public trust suitability; background investigation cleared prior to beginning performance.
- Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.
RESPONSIBILITIES:
Required (Deliverables):
- Datasets produced by geospatial analysis stored in an accessible, organized way (e.g., interactive data dashboards backed by code repositories).
- Reproducible workflows documented in written reports and code repositories.
- Written status reports and other ad hoc communications as needed.
SKILLS:
Required:
- Strong background using GIS (ArcPro, QGIS, etc.) to collate and analyze large spatial datasets.
- Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, GitHub or GIS, and with open-science concepts.
- Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
- Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.