Data Management and Analysis Support

Ocean Associatesorporated•La Jolla, CA

1d•Onsite

About The Position

Ocean Associates Inc. (OAI) is seeking an applicant to provide Data Management And Analysis Support to the National Oceanic and Atmospheric Administration (NOAA), Southwest Fisheries Science Center (SWFSC), Ecosystem Science Division (ESD) in La Jolla, CA. The Ecosystem Science Division (ESD) collects ecosystem observations that characterize the physical environment and organisms living therein, synthesizes ecosystem information, applies models, and collaborates broadly to provide scientific evidence that promotes sustainable fisheries and conservation of protected resources and builds resilience to change. The ESD’s work is guided by several Federal mandates, including the Magnuson-Stevens Fishery Conservation and Management Act of 2007, and the Antarctic Marine Living Resources Convention Act of 1984. Several programs within the ESD conduct research to support commercially valuable fisheries, to monitor environmental parameters affecting stock productivity, to support U.S. interests related to resource management by the Commission for the Conservation of Antarctic Marine Living Resources, and to comply with recent White House executive orders and strategic objectives identified by NOAA Leadership by investing considerable effort in using autonomous technology to modernize data collection and by gathering high-resolution data to improve the responsiveness of fisheries management to real-time ocean conditions. The ESD collects ecosystem data using advanced technologies (e.g., cameras mounted on underwater gliders, aerial imaging systems, animal-borne video loggers, and remote trail cameras) to monitor marine and terrestrial environments. These technologies generate vast amounts of data, requiring automated workflows for processing. Support is needed to evaluate, modify, develop, and implement Artificial Intelligence/Machine Learning (AI/ML) processing workflows for imagery data.

Requirements

Bachelor's degree, or higher, from an accredited college or university with a major in a field related to mathematics, statistics, computer science, computational science, or data science, plus four (4) years of experience in a related field or combination of such totaling eight (8) years combined education and experience.
Master’s Degree in a related field plus two (2) years’ experience or Ph.D. may be substituted for experience
Experience coding in Python, R, and C/C++
Experience developing automated workflows
Experience maintaining application software and data management tools
Excellent verbal and written communication skills.
Ability to work effectively both individually and collaboratively in a team/group setting.
Ability to receive constructive feedback and implement appropriate action.

Responsibilities

Develop new capabilities including data management systems and integrated workflows to increase efficiency of processing and preparing data for research projects and AI/ML model development.
Explore various optical imagery data for the design, development, evaluation, and application of AI/ML capabilities, edge computing, and new automated analytic workflows.
Develop or adapt software for various applications (optical imagery processing, web-based dashboards) using Python and/or C/C++.
Work in the Google Cloud Platform to deploy models using virtual machines (VMs).
Execute technical research projects, track progress, and present technical material in a variety of forums (weekly team meetings, conferences, working groups, program reviews, etc.).
Monthly Progress Reports reflecting the status and progress of all tasks.