RAND Summer Associate Program - POLICY Research
Rand
At a glance
- Pay
- $32/hr
- Location
- Santa Monica, CA
- Work type
- Hybrid
- Category
- Legal
RAND Summer Associate Program in POLICY research for graduate students. 12-week summer assignments with mentorship, potential in-person work at RAND offices (Santa Monica, CA; Washington, DC; Pittsburgh, PA; Boston, MA) and remote flexibility or fully remote from home. Annual compensation provided as a bi-weekly paycheck at $32.00/hour and overtime eligible.
What they are looking for
Location: Santa Monica, CA (Greater Los Angeles Area); Pittsburgh, PA; Boston, MA; USA - Remote; Washington, DC (DC Metro Area)
Job Type
Adjunct Staff (Fixed Term)
RAND is a nonprofit, nonpartisan research organization focused on improving policy and decision making through high-quality research and objective analysis. At RAND, we empower our people to do their best work by fostering a culture in which different views, backgrounds, experiences, and perspectives are valued and respected, and staff have a sense of belonging with their colleagues, fair access to opportunities, and feel comfortable bringing their best selves to work each day. We welcome all applicants from a broad range of backgrounds and experiences to apply for this exciting opportunity.
Position Description
RAND's Summer Associate Program introduces outstanding graduate students across the social, behavioral, policy, and technical sciences to RAND, an institution that conducts research on a wide range of domestic and international social policy issues as well as national security problems. To learn more about research at RAND, visit www.rand.org.
Summer Associates typically work for a 12-week period (60 work days) during the summer, and receive a bi-weekly paycheck during their assignment with RAND. During that time they:
Conduct research that can be completed during their time at RAND and present the results of this research to the RAND community via a 15-30 minute briefing at the end of their three-month assignment;
Are closely mentored by one to two established RAND researchers;
Are highly encouraged to network and interact with other researchers outside of their primary mentorship team and area of expertise;
Are invited to attend a number of seminars from researchers both within and outside of RAND.
Please note: Our summer 2027 program will be a hybrid model including in person work at one of RAND's four offices with remote flexibility or working fully remote from where you live.
In-person positions are typically available in RAND's major U.S. offices—Santa Monica, CA; Washington, DC; Pittsburgh, PA; and Boston, MA. Office placement decisions depend on the availability of in-person mentorship.
Students must reside in the U.S. throughout their RAND summer assignment. International students who are planning to live in the U.S. during the summer of 2027 are eligible to apply. Any applicant who does not plan to live in the United States during the summer is not eligible for hire in the 2027 cycle.
Qualifications
This position is designed for full-time doctoral students who: (1) have completed at least two years of graduate work; and (2) are within two years of completing their doctorate. Master’s students are eligible to apply in the Engineering, Computer or Information Science, and Operations Research disciplines; all such students must graduate on or after December 2027.
A keen interest in working on applied, policy-oriented research questions is necessary. Applicants are strongly encouraged to explore RAND's website (www.rand.org) for details on RAND's ongoing research portfolio. Unfortunately, we do not know in advance which projects may require summer associates.
For many national security or defense projects, applicants must be eligible to receive, or currently hold, a security clearance from the United States government.
Additional qualifications required
Excellent analytic skills;
Proven ability in quantitative and/or qualitative research methods;
Ability to communicate clearly and effectively in English, both verbally and in writing;
Ability to work effectively as a member of a multidisciplinary team;
Strong commitment to RAND's core values of quality and objectivity;
Proof of legal right to work in the United States is required upon hire;
U.S. Citizenship is not necessary except when required for certain types of project work (e.g., the project contract requires it or the project work itself requires a security clearance)
Residency in the U.S. (excluding U.S. territories) is required
Who is not eligible?
The program does not hire high school students, undergraduates, or postdoctoral fellows at this time. Graduate students who will graduate prior to the summer of employment are not eligible.
Specializations of Interest
RAND seeks applicants with training in the following disciplines: Political Science/History, Engineering, Computer Science/Data Science, International Relations/ Security Studies, Biology/Life Sciences/Bioengineering, Industrial-Organizational Psychology, Operations Research, and Economics. Key specializations and research areas are noted below. Positions are not available in all disciplines or research area.
Military strategy and doctrine; geopolitics and area studies (China, Indo-Pacific); AI and international order
Aerospace and space systems; defense systems and acquisition; UAS and autonomous systems
Artificial intelligence and machine learning; AI safety and evaluation; data science
U.S.-China strategic competition and deterrence; nuclear and arms control policy; force design and wargaming; homeland defense; counternarcotics; military personnel and training; AGI and geopolitics
Biosecurity and dual-use biology; synthetic biology; AI-enabled biological design
Modeling, simulation, and wargaming; optimization and decision analysis; forecasting
Defense and security economics; supply chain economics; AI and technology economics
Medicare/Medicaid, healthcare market dynamics, healthcare claims databases, health care payments and financing, drug pricing
K-12 education policy and reform; career and technical education
Methodological interests: quantitative and mixed methods; modeling, simulation, and wargaming; machine learning/AI; causal inference and program evaluation; data science and large-scale data analysis; social network analysis; multilevel modeling; Bayesian analysis; and qualitative research (interviews, content analysis, ethnography, case studies)