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Research Analyst – Technical AI Policy

Job Type:

Regular

Full or part time 

Fixed-Term 

Position Description

RAND’s Technology and Security Policy Center (TASP) is seeking a mission-driven Research Analyst – Technical AI Policy to contribute to and lead research, decision support, and/or technical work at the rapidly evolving intersection of artificial intelligence and national or global security. 

TASP is at the forefront of research and implementation regarding the impact of high-consequence, dual-use technologies—such as artificial intelligence and biotechnology—on global competition and security. Our research has been used by the White House, government departments, the EU and UK governments, and industry leaders, among others. Our alumni have gone on to important roles at the NSC, Commerce, DOD, Congress, Google DeepMind, OpenAI, EU AI Office, UK AISI, other key think tanks, and founding mission-driven tech initiatives, among others. 

This position is initially structured as a focused 1-year appointment to create the urgency needed to drive ambitious change in this rapidly evolving field. Every day of your tenure will count toward that goal. The appointment may be renewed for an additional 2 years, with opportunities for longer-term employment at RAND thereafter. Full-time and part-time (at least 20 hours per week) schedules will be considered. 

RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. You'll have access to leading researchers and extensive government and industry connections. 

Given the breadth of research topics, there is some ability to align projects with an individual’s skills, interests, and career goals. Responsibilities may include but are not limited to: 

  • Execute project responsibilities using a broad range of analytically rigorous research methods and skills, with a focus on developing quantitative models, forecasts, and/or policy options related to export controls, AI chips, AI capabilities, and more. 

  • Monitor developments related to technical AI infrastructure, such as data centers, energy, semiconductor fabrication facilities, AI chip production, AI model releases, and information security. 

  • Interpret research results in the context of new developments and in relation to other elements of the AI infrastructure stack. 

  • Perform technical tasks such as coding or data analysis. 

  • Communicate research findings to decision-makers through briefings and written products. 

A successful candidate could grow into leading a team. 

Qualifications 

Required: 

  • Strong analytical skills. 

  • Demonstrated ability to conduct high-quality, rigorous research, ideally in an AI-related domain and including policy implications. 

  • Demonstrated interest in topics related to technical AI governance or AI infrastructure, as indicated by relevant education, professional experience, personal blog posts, etc. 

  • Ability to quickly and independently get up to speed on technical AI concepts, including export controls, AI chips, data centers, and more. 

  • Clear and effective communication skills in English, both oral and written, tailored to technical and non-technical audiences. Including the ability to explain complex technical topics and their policy implications. 

  • Proven ability to work collaboratively within collaborative, multidisciplinary teams. 

  • Demonstrated understanding of the importance of powerful AI systems and their implications on national security. 

Preferred: 

  • Familiarity with areas of technical AI governance, such as: 

    o AI chip specifications, such as computational performance, memory bandwidth and capacity, and interconnect bandwidth. 

    o Architecture and performance characteristics of supercomputers, particularly as they relate to AI workloads. 

    o AI model training processes and the factors affecting hardware utilization. 

    o Semiconductor manufacturing equipment (SME) and how constraints on SME affect AI chip supply chains, AI chip production, and AI capabilities. 

    o The Chinese semiconductor supply chain and the relevant actors 

    o The People’s Republic of China (PRC)’s AI chip capabilities and how these are affected by actual and plausible export control regimes. 

    o The Chinese AI ecosystem, including key frontier AI companies.

  • Experience in the US government or advising or working with policymakers in relation to emerging technology and national security issues, including in the White House, Congress, interagency processes, and/or the intelligence community. 

  • Experience in working at frontier AI companies. 

  • Familiarity with conducting China-related research, particularly primary source research utilizing Chinese language reading skills. 

Education Requirements

This role requires either: a Master's degree in a relevant discipline; a Bachelor’s with five years of experience; or equivalent. 

Relevant disciplines may include engineering, China studies, computer science, information security, law, mathematics, operations research, public policy, information security, mathematics, security studies, or a related technical or policy-focused discipline. 

Security Clearance 

Ability to obtain and maintain a U.S. security clearance, which requires US citizenship, is preferred but not required. 

Location 

We are actively hiring for this position in Washington, DC; San Francisco, CA; Boston, MA; Santa Monica, CA; and Pittsburgh, PA. DC office is strongly preferred. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered. 

Term 

This position is a 1-year term appointment with a possibility of renewal for up to 2 additional years, with opportunities for longer-term employment at RAND thereafter. 

Application 

Applications must include: 

  • A detailed resume highlighting academic and professional experience relevant to technical AI governance.

  • A writing sample demonstrating analytical and communication skills. This sample can use a recent, previously written paper or report (e.g., journal article, master’s thesis or paper written for coursework, prior employment, or internship). Applicants with fields of study or work experience in which they have not produced written products (e.g., model development), or in which written products have dissemination restrictions, may submit a short, written summary (i.e., less than one page) of one or more recent products they have developed. 

Salary Range: $70,400 - $209,000 

Technical Analyst I $70,400 – $96,800 

Technical Analyst II $88,000 – $121,000 

Technical Analyst III $104,000 – $143,000 

Technical Analyst IV $115,400 - $167,300 

Technical Analyst V $137,000 - $209,000 

RAND considers a variety of factors when formulating an offer, including the specific role responsibilities; a candidate’s work experience, education/training, skills, expertise; and internal equity. RAND provides strong benefits including health insurance coverage, life and disability insurance, a savings plan, paid time-off, and more.

Equal Opportunity Employer: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet

Average salary estimate

$139700 / YEARLY (est.)
min
max
$70400K
$209000K

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What You Should Know About Research Analyst – Technical AI Policy, RAND

Are you passionate about AI and its implications on national security? Join RAND as a Research Analyst – Technical AI Policy, here in the dynamic Washington, DC Metro Area! In this role, you'll be part of our leading Technology and Security Policy Center (TASP), where we tackle the big questions at the intersection of artificial intelligence and global security. You’ll have the opportunity to lead innovative research that influences key decision-makers, from the White House to global industry leaders. Your analytical skills will help us evaluate AI technologies, policy options, and their potential impacts on security. Whether you’re doing advanced modeling on AI capabilities or diving into the details of AI chip production, your work will be both rigorous and essential. We understand that every day matters in this fast-paced field; thus, your initial one-year appointment could expand into more opportunities for long-term roles within our renowned organization. Enjoy the flexibility of full-time or part-time work arrangements, all while leveraging our extensive connections and resources to make an impact in the domain of AI governance. Expect to conduct high-quality, rigorous research utilizing effective communication to relay findings to various audiences. This is your chance to align your interests and skills with real-world applications that have a profound influence on technology and policy. If you’re driven to shape the future of AI, RAND is the place for you.

Frequently Asked Questions (FAQs) for Research Analyst – Technical AI Policy Role at RAND
What are the key responsibilities of a Research Analyst – Technical AI Policy at RAND?

As a Research Analyst – Technical AI Policy at RAND, your key responsibilities will include executing project duties that involve rigorous research methods, developing quantitative models, and analyzing policy options related to AI capabilities and infrastructure. You'll monitor developments in AI technology, perform coding or data analysis, and effectively communicate your findings through presentations and written reports, enlightening decision-makers with your insights.

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What qualifications are required for the Research Analyst – Technical AI Policy position at RAND?

To qualify for the Research Analyst – Technical AI Policy position at RAND, candidates should possess strong analytical skills and a demonstrated ability to conduct high-quality research in AI-related domains. A Bachelor's degree with at least five years of relevant experience, or a Master's degree in a relevant discipline is required. Familiarity with AI governance topics, excellent communication skills, and collaborative abilities are also crucial for success in this role.

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What kind of research will I be involved in as a Research Analyst – Technical AI Policy at RAND?

In this role, you'll engage in research that explores the implications of AI technologies on national security, including but not limited to, topics like AI chip production, export controls, and data center operations. Your work will involve both qualitative and quantitative research methodologies, with the potential for significant contributions to policy discussions at the highest levels of government and industry.

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What does the application process look like for the Research Analyst – Technical AI Policy position at RAND?

When applying for the Research Analyst – Technical AI Policy position at RAND, you'll need to submit a detailed resume and a writing sample that showcases your analytical and communication skills. The writing sample can be from a previous academic or professional work. The process emphasizes your relevant experience and ability to convey complex ideas effectively.

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What opportunities for career growth exist for a Research Analyst – Technical AI Policy at RAND?

RAND offers numerous opportunities for career growth for a Research Analyst – Technical AI Policy. As you prove your capabilities, you may take on leadership roles within projects and potentially transition to long-term employment following the initial one-year term. You'll have access to leading researchers and be part of a vibrant network that can propel your career in think tanks or government.

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Common Interview Questions for Research Analyst – Technical AI Policy
Can you describe your experience with AI technologies and how it relates to national security?

In answering this question, focus on specific projects where you've analyzed or worked with AI technologies, specifically their implications for security. Highlight the methods you used to assess risks and your understanding of AI's role in geopolitics or security contexts.

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What research methods are you most comfortable using in the context of AI policy?

Discuss your familiarity with both qualitative and quantitative research methods. Be prepared to give examples such as modeling, statistical analysis, or literature reviews that you've employed in previous roles to address policy issues.

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How do you stay updated on developments in AI governance and technology?

Mention specific sources you leverage for staying informed, such as academic journals, industry reports, webinars, or conferences. Highlight any personal initiatives, like a blog or regular participation in professional networks, that demonstrate your commitment to ongoing learning.

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Describe a challenging project you worked on. How did you approach it?

Share a pertinent experience where you faced significant challenges, detailing the project goal, your specific responsibilities, and the approach you took to overcome obstacles. Emphasize critical thinking, collaboration, and adaptability in resolving the challenges.

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How would you interpret complex technical AI findings for a non-technical audience?

Your response should reflect your capability in simplifying complex ideas while ensuring essential details remain intact. Provide an example where you translated technical jargon into relatable concepts, ensuring your audience, regardless of their expertise, understood the implications.

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What interests you most about the intersection of AI and policy?

Speak about your passion for shaping responsible AI governance and its broader implications in security and society. Elaborate on any personal motivations that guide your interest in this critical area, whether professional experiences or academic pursuits.

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What software tools or programming languages are you experienced with?

List the specific software tools and programming languages you are proficient in, especially those relevant to data analysis, research, or AI development. Provide examples of how you utilized these tools in your past projects to give context to your abilities.

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How do you prioritize tasks when working under tight deadlines?

Discuss your approach to prioritization when faced with multiple responsibilities. Describe how you set clear priorities, organize your workload effectively, or delegate tasks within a team environment to ensure project outcomes are achieved timely.

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What role do you see AI playing in future security challenges?

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What do you believe is the most significant policy challenge currently facing AI oversight?

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When it comes to think tanks, RAND might be the brainiest. Founded in 1948, RAND Corporation is one of the leading public policy research institutions in the US, offering analysis and research in such areas as education, health care, national secu...

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Full-time, hybrid
DATE POSTED
April 19, 2025

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