Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 7 hours ago

Quantitative Researcher, Evidence Synthesis & Meta-Analysis

American Institutes for Research13 open roles

Pay
$87,000 – $110,000 a year
Where
US-Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowQuantitative Researcher, Evidence Synthesis & Meta-AnalysisAmerican Institutes for Research · US-Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on American Institutes for Research's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. American Institutes for Research postings stay open a median of 12 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 7 hours ago

American Institutes for Research median: 12 days open

The posting

AIR is seeking a Quantitative Researcher to contribute to rigorous evidence synthesis and quantitative research across a range of education projects. The Quantitative Researcher will design and conduct systematic reviews and meta-analyses, evaluate the quality and strength of research evidence, and apply advanced quantitative methods to impact evaluations. The role will collaborate with researchers, subject matter experts, and clients to translate complex evidence into clear, actionable insights that inform education policy, programs, and practice.

This position has the flexibility to work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

  • Develop research designs and study protocols for evidence synthesis across education, workforce, and health programs and topic areas.
  • Design and implement transparent, reproducible evidence synthesis workflows, including literature screening, data extraction, quality assessment, effect-size calculation, and meta-analysis.
  • Apply appropriate methods to extract and synthesize evidence from diverse research designs, including randomized controlled trials, quasi-experimental studies (e.g., regression discontinuity designs), single-case designs, and other quantitative research approaches.
  • Conduct meta-analyses using advanced statistical methods and software, including methods for assessing heterogeneity, exploring variation in effects, and evaluating selective reporting bias.
  • Develop and apply evidence review frameworks, study quality standards, and evidence-rating criteria for evidence clearinghouses, research syntheses, and related initiatives.
  • Contribute to the design and implementation of impact evaluations, including randomized controlled trials and quasi-experimental studies, using appropriate quantitative methods to estimate program impacts.
  • Collaborate with clients and subject matter experts to develop and refine evidence review criteria and processes that align with project goals and policy needs.
  • Contribute to the design, testing, and improvement of tools and software that support evidence synthesis workflows and methods.
  • Develop and deliver training and other professional learning activities related to evidence synthesis methods and tools.
  • Prepare written materials (e.g., technical reports and policy briefs) that communicate findings in ways that are accessible and useful to policymakers and other decision makers.
  • Present findings to clients, professional associations, and the public.
  • Manage or lead projects and tasks, assuming greater responsibility for project management over time.
  • Participate in, and where appropriate lead, efforts to develop research proposals that generate external funding for evidence synthesis and impact evaluation studies.
  • Mentor and support junior staff by providing methodological guidance, sharing approaches to solving problems, and providing feedback on their work.

Qualifications:

Education, Knowledge, and Experience

  • A Master’s degree with at least 4 years of relevant experience, or a Ph.D., in education, statistics, research methods, or a related field, with demonstrated experience conducting systematic reviews and meta-analyses.
  • Experience conducting key components of systematic reviews and meta-analyses, including literature screening, study coding, data extraction, effect-size calculation, and quantitative synthesis.
  • Knowledge of diverse quantitative research designs, including randomized controlled trials and quasi-experimental designs, and demonstrated ability to assess study quality and apply quantitative methods in impact evaluation and evidence synthesis.
  • Experience applying evidence standards, review criteria, or evidence-rating frameworks in research syntheses, evidence clearinghouses, or related initiatives.
  • Demonstrated ability to communicate complex methodological concepts and research findings clearly, both orally and in writing, to technical and non-technical audiences.

Skills

  • Expertise in advanced evidence synthesis methods, including meta-analytic modeling, assessment of heterogeneity and variation in effects, and evaluation of selective reporting bias.
  • Ability to assess methodological rigor across a range of study designs and translate research evidence into transparent, defensible evidence ratings or recommendations.
  • Ability to apply appropriate quantitative methods to the design and analysis of impact evaluations, including experimental and quasi-experimental studies.
  • Experience with or interest in applying AI-enabled tools to support literature screening, coding, data extraction, or other components of evidence synthesis.
  • Proficiency in a statistical programming language or software (e.g., R) and ability to learn and apply new statistical and methodological tools as needed across projects.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state, or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braids, locs, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to [email protected] or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address. For example, [email protected] is correct, while [email protected] is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to [email protected].

If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Learn more about how to avoid scams at ftc.gov/scams.

#LI-DP1 #LI-REMOTE

AIR’s Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.

Anticipated Annual Salary Range

$87,000—$110,000 USD

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against American Institutes for Research's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on American Institutes for Research's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    American Institutes for Research's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.