Stock Assessment Software Developer Level II

POSITION DESCRIPTION :

Think Tank is seeking a Stock Assessment Software Developer   Level II to support NOAA with the continued development, maintenance, and expansion of the Stock Efficiency Initiative (StockEff) system. StockEff is a mission-critical Oracle-based system that streamlines fisheries stock assessment workflows, improves transparency and reproducibility of assessment data, and enhances communication of assessment results through standardized outputs.

This position offers a unique opportunity to apply software development skills to cutting-edge fisheries science, supporting national and regional scientists in producing data and tools that directly inform sustainable fisheries management. Candidates will collaborate with the NEFSC Population Dynamics Branch (PDB) and Information Technology Division to ensure StockEff continues to meet evolving data, analysis, and reporting needs.

RESPONSIBILITIES :

• Support ongoing development and maintenance of StockEff projects and products.
• Provide training and user support to stock assessment scientists.
• Collaborate with NEFSC IT staff to ensure system security, compliance, and infrastructure integration.
• Work with PDB staff to identify, scope, and develop new workflow tools and system components.
• Design, develop, and maintain code, input / output interfaces, Graphical User Interfaces (GUIs), and database infrastructure.
• Prepare and maintain system documentation, user manuals, and training materials.
• Develop consensus-standard tables, figures, and reporting outputs.
• Ensure compliance with NOAA and IT policies for modeling software and infrastructure.

REQUIREMENTS :

• Bachelor's or Graduate degree in fisheries science, quantitative ecology, computer science, or related field & 5+ years of relevant experience
• Familiarity with NOAA Fisheries' stock assessments and understanding of analytical techniques.
• Strong programming skills; experience with languages such as :

AD Model Builder, Visual Basic, C, Java, JavaScript, Python, HTML.

• Proficiency with statistical software such as R and SAS.
• Experience with code versioning tools (e.g., Git).
• Experience developing GUIs for scientific applications.
• Knowledge of web-based software and website management (e.g., PHP).
• Experience implementing standards in software and data management / documentation.