Data Science Positions with NOAA’s NWFSC
NOAA Fisheries | Posted Apr 4, 2024
Deadline: Apr 9, 2024
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Three Data Science positions at NOAA Northwest Fisheries Science Center (Seattle or alternate duty stations available). These are full-time federal positions (term). Three data science positions in support of three important NOAA initiatives (Climate, Ecosystem, and Fisheries; Open Science and Open Data; Pacific Salmon Recovery). See position 3 for those with experience with hydrologic systems and networks. The positions will open on Wednesday April 3rd, and remain open until April 9th, or until 150 applications are received. Main duty station is Seattle, WA or Newport, OR but alternate duty stations around the US. Telework may be possible up to 8 days per 14-day pay period.
Targeting graduates with data science (math, programming, statistics, data management, geospatial data) experience in the earth or marine sciences. BS with experience or Masters or PhD graduates.
Apply: https://www.usajobs.gov/GetJob/ViewDetails/784626000
Details: https://drive.google.com/file/d/1vUBRvKQKlUI4Tg_1ElA7jF8jmOYaMNv6/view?usp=share_link
The three positions are as follows:
1. Open Science Initiative
Location: Seattle, WA; Portland, OR; Newport, OR; Woods Hole, MA; Silver Spring, MD; Miami, FL; Narragansett, RI
This position will require someone with skills in the reproducible workflows used in marine and earth sciences data science. This involves experience in R and/or Python and specifically in frameworks for reproducible reports and analyses in R and/or Python, such as development environments (RStudio, Jupyter, or VS Code), authoring (such as RMarkdown, Quarto, or Sphinx, jupytext), version control, workflow managers (like drake or targets), continuous integration workflows for R and Python (e.g., GitHub Actions), version control (Git and GitHub), containerization for R and Python (e.g., docker images) and application development (e.g., Shiny or Streamlit). The position will require communication skills as teaching workshops for using the reproducible tools that are developed and participating in “co-work” time with science staff will be a core part of the position. Development of documentation and tutorials for the tools will also be required. In addition, monitoring GitHub issues on our GitHub organizations and responding to issues related to our reproducibility workflows.
Requirements for candidates: coding skills in R or Python, experience with Git and GitHub and strong written communication skills, verbal communication skills in giving and preparing presentations and teaching experience (teaching assistant, teaching in workshops, for example). Prefer but NOT a must have: prior experience with RMarkdown/Quarto/Sphinx, building R or Python packages, creating docker images, GitHub Actions or similar, and/or Shiny applications.
2. CEFI analysis coordinator
Location: Seattle, WA; Newport, OR
This individual will help collate data products for validation and work with the west coast regional climate and ecosystem fisheries initiative (CEFI) team to generate operational products and templates in collaboration with regional partners (managers, councils, IEA teams). They will work to develop and maintain operational products, and help facilitate implementation of products from other CEFI positions (e.g., with reproducible code, common methods and frameworks), and package and share results through the data and information hub.
3. Pacific Salmon Habitat Project
Location: Seattle, WA; Portland, OR; Newport, OR
This data scientist position is for a new team member in a group of NOAA scientists and data managers building a suite of freshwater habitat quality and quantity indicators. The work involves developing and manipulating river-network organized data and analysis structures. The data development work is based on existing spatial data (raster and vector, riverscape and landscape schema), refactored to indicators of current and potential salmon population health. In this work management support for salmonid fishes is the primary focus; generating usable information sets that capture ecosystem processes supporting adult and juvenile life-stages in freshwater. The work targets the Pacific Northwest (OR/WA/ID) river system currently and historically supporting salmon and steelhead populations. The project outputs are Indicators supporting assessments of current and potential habitat quality and quantity. In particular, the project focuses on potential habitat quality and quantity that is mediated by the type, degree, and durability of anthropogenic habitat modification.
Part of a team building and maintaining data sets and data management systems to support Endangered Species Act and Magnuson Stevens Act based management of salmonid populations and their freshwater habitat.
Requirements for Candidate: strong coding skills in R or Python, experience with Git and GitHub and strong written communication skills, verbal communication skills. Candidate needs to have experience with spatial data processing and development, in particular, network organized spatial information management. The ideal candidate will have experience with building and manipulating spatial data exchange frames such as geopackages and NetCDF datasets, and experience using network or internet of water data manipulation tools and packages <e.g., hydroloom, nhdplusTools>.