DOE Environmental Management (EMGFP) Post Masters Fellow - Environmental Remediation Data Scientist

Pacific Northwest National Laboratory•Seattle, OH

14h•$80,500 - $104,700•Onsite

About The Position

The DOE's Office of Environmental Management Graduate Fellowship Program (EMGFP) is seeking graduate fellows to contribute to the nation's significant cleanup efforts. Pacific Northwest National Laboratory (PNNL), a world-class research institution, is looking for dynamic and driven individuals to work with renowned researchers on meaningful projects for the U.S. Department of Energy (DOE) and other sponsors. This fellowship is part of the Minority Serving Institutions Partnership Program (MSIPP), funded by the DOE Office of Environmental Management (DOE-EM). DOE-EM is focused on cleaning up legacy radioactive waste in soil, groundwater, and underground storage tanks, with a particular emphasis on the Hanford Site, one of the most complex DOE sites due to hazardous comingled contaminants. The program aims to safely immobilize and clean up environmental legacy waste. To qualify, candidates must have attended a Minority Serving Institution (MSI) for their undergraduate or graduate degree. The selected candidate will work on projects involving environmental data processing, analysis methods, statistical modeling, data visualizations, and AI tool development to improve understanding of complex datasets and support remediation decision-making. The goal is to enhance remediation performance, reduce cleanup timeframes, and employ cost-efficient approaches, ultimately turning data insights into actionable recommendations for environmental remediation.

Requirements

Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university.
Minimum GPA of 3.0 is required.
Must attend a Minority Serving Institution (MSI) for undergraduate or graduate degree.
U.S. Citizenship is required.

Nice To Haves

Degree in Data Science, with education (Minor or certificate) related to statistical analysis/modeling.
Proficiency in math/data analytics and data science (e.g., statistics, Artificial Intelligence/Machine Learning), including analysis using Tableau.
Coding experience with Python, JavaScript, and SQL (R or VBA are a bonus).
Experience with Amazon Web Services cloud computing, including serverless and AI services.
Ability to work collaboratively in team settings, along with excellent verbal and written communication skills.
Experience with data/software quality assurance programs (e.g., NQA-1).
Strong familiarity with and interest in cleanup/environmental management and associated challenges.

Responsibilities

Work with a wide range of types and formats of environmental data spanning geophysics, groundwater chemistry, water levels, remote sensing, etc. to condition and analyze data to identify trends and insights to support environmental remediation decision-making.
Apply statistical, machine learning, and artificial intelligence approaches and methods to develop insights to the remediation process or tools that can guide the remediation process.
Manage and organize large datasets to maintain data integrity and accessibility, meeting data validation and quality assurance objectives.
Collaborate with environmental/chemistry experts, engineers, software developers, and data scientists to understand specific project goals and execute on project/task delivery.