Preparing for an interview at American Institutes for Research requires a dual focus on your technical capabilities and your communication style. Because AIR is a highly respected research institution, the standards for methodological accuracy and writing clarity are exceptionally high.

To stand out, you should approach your preparation through the lens of the following core evaluation criteria:

Role-Related Research Knowledge – You must demonstrate a clear grasp of research design, data collection methods, and analytical techniques. Be ready to talk about your specific methodological choices in past projects, justifying why you chose certain quantitative models or qualitative coding schemes.

Problem-Solving & Structure – Interviewers look at how you break down complex, ambiguous policy or social issues. When presented with hypothetical research scenarios, structure your answers logically, starting with the research question, moving to data sources, and concluding with analysis and reporting.

Communication & Writing Excellence – A significant portion of your day-to-day work involves writing. You will be evaluated on your ability to translate complex statistical findings into clear, plain-language summaries for non-technical audiences.

Mission Alignment & Teamwork – AIR is a mission-driven, highly collaborative organization. You should emphasize your interest in social science research that promotes equity and improves lives, as well as your ability to work smoothly across virtual, multi-office teams.

The interview process at American Institutes for Research is thorough and designed to evaluate candidates from multiple angles. It typically spans several weeks and involves both HR professionals and active researchers.

The process begins with an online application, followed by an initial human resources screening. This first conversation is relatively brief and focuses on your background, interest in the organization, and salary expectations. Shortly after this screening, you will typically be asked to submit one or more independent writing samples. Depending on the technical nature of the specific team, you may also be asked to complete a timed writing assignment, a research scenario task, or a coding assessment (often in STATA or R).

Once you pass the initial screening and assessments, you will move to the department-specific rounds. This usually involves one or two phone or video interviews with hiring managers and senior researchers to discuss your technical skills in detail.

The final stage is an intensive, multi-hour panel interview. This round is highly structured and consists of back-to-back sessions where you will meet with 4 to 8 different team members, ranging from peer-level Research Analysts to senior managers and principal researchers. These conversations will dive deep into your research experience, behavioral scenarios, and team collaboration style.

The visual timeline above outlines the typical progression from the initial HR contact to the final decision. Candidates should use this timeline to pace their preparation, ensuring they have writing samples polished and ready early in the process, while saving deep methodological review for the intensive panel stages. While the process is highly professional and friendly, it can sometimes take several weeks to navigate due to the number of stakeholders involved.

To succeed at American Institutes for Research, you must perform well across several distinct evaluation areas. Understanding what "strong performance" looks like in each area will help you tailor your preparation.

Quantitative & Qualitative Research Methodology

This area evaluates your foundational research skills. Strong candidates can discuss the pros and cons of different research designs and demonstrate a clear understanding of causal inference, survey methodology, or qualitative coding.

Be ready to go over:

• Research Design – Understanding experimental, quasi-experimental, and descriptive research designs.
• Data Collection – Designing surveys, interview protocols, and focus group guides that minimize bias.
• Synthesis – Conducting systematic literature reviews and identifying gaps in existing research.

Advanced concepts (less common):

• Propensity score matching and difference-in-differences designs.
• Psychometric validation of survey instruments.
• Multi-stage cluster sampling and weighting.

Example scenarios:

• "How would you design an evaluation to measure the impact of a new digital health tool on patient outcomes in rural clinics?"
• "Describe how you would set up a coding framework for fifty transcripts of interviews with school administrators."

Statistical Software & Data Management

You will be evaluated on your hands-on ability to manipulate, clean, and analyze data. AIR projects deal with large, complex datasets, making reproducible coding practices essential.

Be ready to go over:

• Data Cleaning – Merging datasets, handling missing values, and restructuring data.
• Reproducibility – Writing clean, well-commented code and maintaining comprehensive syntax files.
• Descriptive & Inferential Statistics – Running regressions, calculating descriptive statistics, and interpreting output.

Advanced concepts (less common):

• Writing custom macros or functions to automate data cleaning.
• Merging administrative records with survey data while maintaining strict privacy protocols.

Example scenarios:

• "Walk me through how you would check a newly received dataset for inconsistencies or data entry errors before beginning your analysis."
• "What steps do you take to document your coding workflow so that another researcher can replicate your findings exactly?"

Writing & Synthesis Ability

Because a key deliverable for AIR is translating research into action, your ability to write clearly and professionally is heavily scrutinized.

Be ready to go over:

• Technical Writing – Drafting methodology sections, reporting statistical results, and creating clear data visualizations.
• Plain-Language Translation – Writing policy briefs, executive summaries, and blog posts that communicate complex findings to non-researchers.
• Attention to Detail – Proofreading, formatting, and ensuring absolute accuracy in tables, charts, and references.

Example scenarios:

• "You are asked to write a two-page policy brief for a state legislator based on a 200-page evaluation report. How do you decide what information to include?"
• "Describe a time when you found an error in a draft report right before it was scheduled to go to a client. How did you handle it?"

As a Research Analyst at American Institutes for Research, your day-to-day responsibilities will be highly varied and project-dependent. You will typically support multiple project teams simultaneously, requiring strong organizational skills and adaptability.

On any given day, your responsibilities will include:

• Literature and Policy Synthesis – Conducting comprehensive literature reviews, synthesizing academic papers, and drafting background sections for reports and proposals.
• Primary Data Collection Support – Assisting in the development of survey instruments, coordinating the administration of surveys, scheduling interviews, and taking detailed, structured notes during focus groups.
• Data Processing and Analysis – Cleaning raw quantitative data, writing code to merge datasets, running descriptive statistics, or coding qualitative interview transcripts using software like NVivo or Dedoose.
• Reporting and Deliverables – Drafting sections of research reports, creating clear charts and graphs in Microsoft Excel or specialized software, and assisting in the preparation of presentations for clients and stakeholders.
• Project Management and Administration – Tracking project timelines, coordinating internal and external meetings, maintaining project files, and supporting the development of new business proposals.

You will collaborate closely with Research Assistants, Research Associates, and senior principal investigators, serving as a critical link in ensuring that data is collected accurately, analyzed rigorously, and reported clearly.