Geospatial Analysis Data Science Support

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., Required (Deliverables)

• 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., * 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.