Responsibilities:
We're looking for an AI Policy Researcher who will support the Value Research Team in tracing and analyzing legislation, guidance, and policy to guide an agency's AI adoption strategy. The role is focused on research, analysis, and strategic thinking that informs our client's AI maturity development. The ideal candidate blends deep healthcare policy knowledge with analytical skills, federal agency experience, and a passion for advancing responsible AI adoption within government contexts.
Key Responsibilities:Policy Analysis - Analyze AI-related federal policy, directives, and legislation to determine impacts and implications on AI maturity development.
Maturity Assessment - Evaluate the status quo for AI adoption and development frameworks to measure and advance AI maturity across the agency.
Infrastructure Monitoring - Monitor the AI infrastructure landscape and assess implications for agency operations and strategic planning.
Strategic Road Mapping - Contribute to road mapping efforts that recommend actions and priorities for AI implementation within the federal agency.
Cross-Functional Collaboration - Work with technical teams, leadership, and stakeholders to translate policy insight into actionable guidance.
Trend Forecasting - Identify emerging policy trends and regulatory developments that may impact future AI initiatives.
Documentation and Reporting - Create comprehensive reports, briefings, and presentations that communicate complex policy implications to various audiences.
Additional details:Hybrid work model with flexibility. Associated Noblis location options include Reston, VA, Woodlawn, MD, and Washington, D.C.
Local monthly travel may be required for team meetings.
Opportunity to shape AI adoption strategy at the federal level.
Required Qualifications:
U.S. Citizenship, or U.S. Permanent Residency with a minimum of 3 years of U.S. Residency.
Advanced degree, such as a Master's Degree, J.D., or similar, and minimum 3 years experience AI policy and general policy analysis, with demonstrated experience in policy interpretation and impact assessment.
Proficiency in policy research methodologies, regulatory analysis, and the ability to synthesize complexity information from multiple sources.
Strong written and verbal communication; able to translate technical policy language into clear, actionable guidance for diverse stakeholders.
Experience working with technical teams, agency leadership, and external policy bodies; comfortable presenting to senior leadership.
Knowledge of AI / ML fundamentals and how they intersect with federal policy, regulations, and governance frameworks.
Familiarity with federal agency operations, compliance requirements, and the legislative process.
Desired Qualifications:
Experience developing AI maturity models or assessment frameworks for organizations.
Experience supporting federal agency policy analysis.
Experience in healthcare policy interpretation and impact assessment.
Background in public policy, government affairs, or related fields with technology focus. Preferably experienced in analysis of healthcare policy.
Familiarity with ethical AI principles and responsible innovation frameworks.
Experience contributing to strategic planning or road mapping initiatives.
Knowledge of federal IT modernization efforts and digital transformation strategies.
Overview:
Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us
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