Quantitative Analysis Data Science Support

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: 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.