*Position is Subject to Contract Award
POSITION DESCRIPTION:
Description of Duties:
- Analyze spatial and temporal variability in abundance and composition of fish, their prey, competitors, predators, and habitats.
- Analyze and generate relationships between fish responses (e.g., density, biomass, growth, survival) and stressors (environmental/ecological conditions, habitat metrics, management actions) in particular life stages.
- Contribute statistical and spatial analysis expertise to construction and implementation of fish life cycle (stock assessment) models and simulations evaluating cumulative effects across life cycles - with emphasis on ecological interactions (predators, prey) and expanding model complexity in estuary and nearshore domains.
- Share comprehensive workflow protocols and research products.
- Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.
EDUCATION & EXPERIENCE:
Required:
- Education: Doctorate from an accredited college/university with an emphasis in a field related to the task order, including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.
- Experience: Five (5) or more years of relevant experience, 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):
- Reproducible workflows documented; computer scripts and methods shared in an open-source framework such as GitHub.
- Analysis products stored in an accessible, organized way; data and models shared via collaborative scientific platforms and public research repositories.
- Written status reports and other ad hoc communications as needed.
SKILLS:
Required:
- Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, Python, GitHub and 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.