Scientific Data Analyst​/Fisheries Information Specialist

Jul 6

Written by Liz Tarquin

Location: Seattle, WA (Hybrid/Remote Eligible)

Employment Type: Full-Time

Client: NOAA Fisheries (NMFS)

Security Requirement: Public Trust Eligibility Required (US Citizen)

CASE is seeking a Scientific Data Analyst to support NOAA Fisheries’ Fish Ecology Division by developing, managing, and modernizing scientific information systems supporting fisheries research and ecosystem science. This position focuses on improving scientific data accessibility, reproducibility, and long-term stewardship while supporting collaborative research across NOAA.

• Manage biological and environmental datasets.
• Develop reproducible data processing pipelines.
• Support scientific software development and workflow automation.
• Develop GIS products and interactive visualizations.
• Maintain metadata and documentation.
• Support COMPASS information management.
• Develop Git Hub-managed workflows and version-controlled analytical products.
• Collaborate with fisheries scientists, ecologists, and software developers.

• Bachelor’s or Master’s degree in Computer Science, Data Science, GIS, Marine Science, Fisheries, Environmental Science, or related field.
• Experience with SQL, R, Python, or similar languages.
• Experience managing scientific datasets.
• Strong written communication skills.
• Proficiency in R and/or Python.
• ArcGIS Pro or QGIS.
• Git Hub and version control.
• COMPASS.
• Scientific software development.
• Fisheries or ecological datasets.
• Cloud computing.
• Automated QA/QC.
• Publication record preferred.

• Company-sponsored healthcare (medical, dental, and vision)
• Paid leave
• Retirement plan
• Training and professional development
• Remote and flexible work
• Performance-based raises and bonuses
• Other benefits

CASE is an affirmative action and equal opportunity employer focused on attracting, retaining, and cultivating talented professionals with diverse backgrounds and perspectives and a diverse, inclusive workplace in which our employees thrive. We equitably consider all qualified applicants without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information, as per https://(Use the "Apply for this Job" box below)..