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How much do intelligence laboratory doe jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for intelligence laboratory doe in the United States is $26.58, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $29.57 per hour, depending on experience, location, and employer.

What is an intelligence laboratory doe?

An Intelligence Laboratory Doe typically refers to a professional working in an intelligence laboratory, focusing on the research, development, and testing of technologies related to data analysis, surveillance, or national security. These roles often involve analyzing large datasets, developing algorithms, or supporting intelligence operations with technical expertise. The job requires strong analytical skills, proficiency in relevant software or programming languages, and a background in fields like computer science, data science, or engineering.

What are some common challenges faced by professionals working in an intelligence laboratory environment?

Professionals in intelligence laboratory settings often encounter challenges such as managing sensitive or classified data, adapting to rapidly evolving technology, and collaborating across multidisciplinary teams. The work can require strict adherence to security protocols, which may limit access to certain information and tools. Additionally, balancing the need for innovation with compliance and operational security can be demanding, but it also provides opportunities for creative problem-solving and professional development.

What are the key skills and qualifications needed to thrive as an intelligence laboratory analyst, and why are they important?

To excel as an Intelligence Laboratory Analyst, you need a strong background in analytical reasoning, data interpretation, and a relevant degree in fields such as intelligence studies, computer science, or forensic science. Familiarity with analytical software, database management systems, and security clearance procedures is typically required. Keen attention to detail, critical thinking, and strong communication skills help analysts effectively interpret and convey complex information. These competencies are vital for ensuring accurate intelligence assessments that support decision-making and national security objectives.

What is the difference between Intelligence Laboratory Doe vs Intelligence Analyst?

AspectIntelligence Laboratory DoeIntelligence Analyst
Required CredentialsBachelor's degree in cybersecurity, computer science, or related field; security clearance often preferredBachelor's degree in intelligence, security studies, or related field; sometimes requires security clearance
Work EnvironmentResearch labs, government agencies, or private sector security firmsGovernment agencies, defense departments, or intelligence agencies
Employer & Industry UsagePrimarily in research, development, and testing of intelligence toolsAnalysis, reporting, and strategic intelligence gathering

Intelligence Laboratory Doe focuses on research and development within intelligence environments, often involving technical and scientific tasks. In contrast, Intelligence Analysts primarily interpret and analyze intelligence data to support decision-making. While both roles require security clearances and related credentials, their work environments and core responsibilities differ significantly.

Senior Artificial Intelligence Advisor with Security Clearance

Key Logic

Pittsburgh, PA • On-site

$132K - $133K/yr

Other

Re-posted 13 days ago


Key responsibilities

  • Lead the development and implementation of AI strategies aligned with DOE mission priorities and scientific roadmaps.

  • Design, guide, and oversee the execution of AI solutions that enhance scientific productivity, operational efficiency, and decision support.

  • Identify, shape, and mature AI-driven opportunities with DOE programs, national laboratories, academia, and industry partners.


Job description

KeyLogic is seeking an experienced Senior Artificial Intelligence Advisor to guide artificial intelligence initiatives in support of the U.S. Department of Energy (DOE). This role will shape how AI enhances scientific discovery, accelerates R&D, modernizes operations, and strengthens mission impact across the complex. The ideal candidate combines deep expertise in AI/ML with consulting agility, business development skills, and the ability to envision "art of the possible" applications across scientific domains, advanced energy systems, digital engineering, and laboratory operations. This position balances strategy, execution, technical leadership, and the development of new opportunities that mature into funded programs. ***REQUIRED: Experience supporting Energy Programs, DOE, National Laboratories, ARPA-E, DoW, or NSF research programs.***
Location: Hybrid based in Pittsburgh, PA or Morgantown, WV **We will consider relocation Ideal Candidate Profile: Part strategist, part technologist, part business developer in the Energy or R&D sectors.
A visionary who sees how AI will reshape the Lab's mission for the coming decade.
A collaborative builder who assembles strong teams and partnerships.
A trusted advisor to senior leaders.
A hands-on expert who can dive into technical discussions with top scientists.
A mission-driven innovator committed to advancing U.S. energy and scientific excellence. Position Responsibilities: Advance AI Strategy and Vision
Develop and drive an AI strategy aligned with DOE mission priorities, scientific roadmaps, and future state operating models.
Identify high-value AI applications across research, modeling, simulation, energy systems, materials discovery, cyber, facility operations, and mission support.
Translate emerging AI technologies (e.g. LLMs, multimodal models, agentic AI, scientific ML, HPC-AI fusion) into actionable pathways that maximize value for the Lab.
Shape and Deliver High-Impact AI Initiatives
Lead multidisciplinary teams in designing and implementing AI solutions that improve insight generation, scientific productivity, model accuracy, operational efficiency, and decision support.
Integrate AI into existing Lab tools, platforms, and workflows to modernize and scale capabilities. Guide technical design, architecture, and research direction for pilots, prototypes, and full-scale solutions.
Business Development and Opportunity Advancement
Identify, shape, and mature AI-driven opportunities with DOE programs, other national laboratories, academia, and industry partners.
Lead the development of concepts, white papers, proposals, and partnership strategies.
Drive prioritization of AI investments based on Value, feasibility, mission impact, and risk.
Serve as a primary interface with DOE sponsors, advocating for the Lab's AI capabilities and securing new funding.
Operationalize Responsible, Scalable AI
Establish governance, model risk management, data practices, and responsible AI frameworks tailored to DOE R&D.
Support ModelOps/MLOps implementation, ensuring transparency, reproducibility, and long-term sustainability.
Champion ethical, secure, and compliant adoption of AI across scientific and operational environments.
Team Leadership & Workforce Development
Build and lead high-performing teams of AI scientists, engineers, domain experts, and analysts.
Mentor staff and grow a scalable internal AI capability that can support diverse mission needs.
Coordinate with technical and operational leaders to align talent, resources, and execution plans.
Stakeholder Engagement & Thought Leadership
Represent the Lab in high-level discussions with DOE leadership, inter-laboratory AI working groups, academia, and industry collaborators.
Communicate complex AI topics to technical and non-technical audiences.
Serve as a thought-leader in emerging AI technologies relevant to scientific R&D, energy systems, digital twins, and operational excellence. Position Requirements: U.S. Citizenship
Bachelor's degree required; Master's or PhD. in Computer/Data Science, Engineering/Applied Math, and/or Scientific Modeling preferred with demonstrated capabilities required in Physical/Fundamental Science.
5-10+ years' experience in AI/ML, scientific computing, digital transformation, or advanced analytics.
5- 10+ years leading AI/ML projects with executive or senior stakeholder engagement.
Demonstrated ability to build partnerships and develop new business opportunities within federal R&D, government, or scientific institutions.
Experience supporting DOE, National Laboratories, ARPA-E, DoW, or NSF research programs.
Prior work in scientific ML, HPC-AI Integration, digital twins, physics-informed modeling, or computational science.
Knowledge of AI governance, responsible AI frameworks, and federal compliance standards.
Experience developing proposals, capture strategies, and R&D concepts.
Understanding of DOE energy systems, materials science, climate/energy analysis, or advanced engineering domains.
AI certifications or cloud certifications (e.g. NVIDIA, AWS, Azure, Databricks).
Exposure to agile program management and design-thinking methodologies.
Ability to synthesize technical depth with strategic vision.
Proven success leading teams and managing large, complex programs.
Strong interpersonal and communication skills to influence stakeholders at all levels.
Comfort operating in mission-driven, highly technical, and ambiguous environments.
Entrepreneurial mindset with a bias toward action and building new capabilities.
About KeyLogic: Supporting critical missions at the intersection of data and science, KeyLogic provides mission management, systems analysis, data analytics, digital transformation, and cybersecurity to customers in the energy, federal civilian, and defense sectors, with a 20+ year portfolio of successes supporting DOE, DOC, EPA, DOD, DHS, FBI, and other federal agencies challenged with complex missions. We help our customers solve the world’s most challenging problems with unsurpassed anticipatory service. KeyLogic employs over 400 team members, including systems designers, developers, data scientists, IT and cybersecurity specialists, engineers, mission experts, program managers, and more than 70 Ph.D. scientists. This multidisciplinary team works together solving challenging problems with anticipatory service—always staying one step ahead—benefiting our customers, and ultimately helping build a better world. We are committed to the success of each customer’s mission. We care enough to make their mission our mission and their success our success. We take technical service delivery to a level above our peers. Our anticipatory service is best-in-class. KeyLogic is an Equal Opportunity/Equal Access Employer. KeyLogic is committed to a policy of non-discrimination against individuals on the basis of any legally protected status. If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Request for accommodation will be considered on a case-by-case basis.