Data Science Support -- Data Collection and Management

• Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

• Compile and organize existing large spatial and temporal datasets for evaluating effects of management actions on managed fish or shellfish populations in freshwater, estuarine, or nearshore marine environments of the PNW.
• Conduct literature reviews to extract data and published relationships between ecological outcomes and potential stressors or habitat metrics.
• Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments (harsh conditions; may involve driving vehicles/boats/trailers and occasional ship-survey assistance).
• Lead data processing and visualization; share compiled data, comprehensive workflow protocols, and research products so others can interact with and understand the work.
• 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 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):

• Datasets compiled from existing sources or extracted from literature reviews, 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 quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, GitHub, etc.
• Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
• Familiarity with common workplace software such as Google Suite and Microsoft Office.
• Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.