*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.