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Directorate Fellow, Energy and Data AI
Idaho National Laboratory. Lead AI data architectures for Genesis Mission science and technology challenges .
Posted 10/7/2026full-timeIdaho Falls • Idaho • United StatesLead💰 $164,592 - $337,428 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI data architectures and machine learning model development within the energy domain, with a strong ability to communicate complex data-driven results effectively. Proven experience in collaborating with diverse stakeholders and publishing research findings in peer-reviewed forums.
Highest-signal resume keywords
PhD In Data Science10 Years Of Relevant ExperienceEnergy Domain KnowledgeMachine Learning Model DevelopmentData Visualization Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData AnalysisData Pipeline DevelopmentExplainable AIPhysics-Informed Machine LearningData Sensor FusionComplex Data ManagementSupervised Learning TechniquesUnsupervised Learning TechniquesModel Evaluation
Soft Skills
Effective CommunicationStakeholder Relationship ManagementCollaboration
Tools & Technologies
Cloud ArchitecturesOn-Premises ArchitecturesEdge-Based Architectures
Certifications & Qualifications
DOE Level 'Q' Security Clearance
Industry Keywords
Energy ApplicationsData-Driven AnalysisAnalyticsVisualizationPeer-Reviewed Publications
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead AI data architectures for Genesis Mission science and technology challenges
- Lead development, validation, and interpretation of ML models and data pipelines for energy applications
- Lead writing journal articles and conference proceedings on energy and data AI systems
- Analyze data and generate results for analytics, visualization, and modeling needs across cloud, on-premises, and edge-based architectures
- Apply explainable AI/ML, large language models, physics-informed machine learning, systems performance analysis, and/or data sensor fusion
- Apply energy domain knowledge to identify opportunities for machine learning and data-driven analysis
- Collaborate with data science teams to translate energy requirements into analytical frameworks
- Evaluate model outputs using domain expertise to ensure physical accuracy and operational relevance
- Lead technical documentation, reports, and presentations related to ML-assisted efforts
- Present complex information effectively to national and international audiences
- Work with little supervision on highly complex defined tasks
- Collaborate with government agencies, academia, and industry partners
- Publish results in peer-reviewed journals and conference proceedings
Requirements
What you’ll need- PhD in data science, engineering, geosciences, mathematics, computer science, physics, geology, artificial intelligence, or related technical discipline
- 10 years of relevant experience
- Ability to interpret and communicate data-driven results within an energy domain context
- Highly skilled at managing stakeholder relationships effectively
- Highly skilled communicator across mediums and platforms
- Ability to obtain and maintain a DOE level “Q” security clearance
- U.S. citizenship required for the DOE level “Q” security clearance
- Experience with energy domain problems
- Expertise in complex data management
- Exposure to supervised/unsupervised learning techniques or data visualization tools
- Ability to perform the stated physical requirements
- Males born after December 31, 1959 must have registered with the Selective Service System
- Resume and complete answers to application questions required
- No H1-B visa sponsorship obtained outside the United States of America
Benefits
Comp & perks- Medical, Dental, Vision, and Flexible Spending Accounts
- 401(k) with a 4.2% employer contribution and up to 4.8% match
- Paid time off (personal leave)
- Employee Education Program (tuition assistance for eligible positions)
- Comprehensive Relocation Package
- 9x80 work schedule with every other Friday off
- Remote or onsite work options
- Pre-employment drug screen and periodic drug testing