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Remote Quantitative Social Science Jobs (NOW HIRING)

... quantitative social science research projects focused on tobacco regulatory science and related ... Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ...

... quantitative social science research projects focused on tobacco regulatory science and related ... Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ...

... quantitative data across causes of death, epidemiology, and social determinants to produce key ... This position is eligible to work fully remote in the US; work schedule required to overlap 50% of ...

Senior Impact Researcher

New York, NY ยท On-site +1

$130K - $140K/yr

PhD in psychology, education, or a related quantitative social science field * Familiarity with ... Remote-First - CDI was founded as a remote-first organization, and we work hard to maintain a ...

Program Assistant

New York, NY ยท On-site +1

$41K - $52K/yr

The Social Science Research Council (SSRC) is an independent, international, nonprofit organization ... conducts quantitative and qualitative research; contributes to the program's outreach and ...

Lead Quantitative UX Researcher

Atlanta, GA ยท On-site +1

$150K - $185K/yr

... Social Science, or equivalent work experience (an advanced degree is preferred). * Statistical ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

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Remote Quantitative Social Science information

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$47.5K

$74.9K

$139K

How much do remote quantitative social science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote quantitative social science in the United States is $74,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Social Science professional, and why are they important?

To thrive as a Remote Quantitative Social Science professional, you need a strong background in statistics, data analysis, research methods, and typically an advanced degree in a social science discipline. Proficiency with statistical software such as R, Stata, or SPSS, and experience with survey platforms and data visualization tools, are highly valued. Excellent written communication, critical thinking, and self-motivation are crucial soft skills for collaborating remotely and translating data insights effectively. These skills ensure rigorous research, accurate data-driven conclusions, and effective collaboration in a distributed work environment.

How do remote quantitative social scientists typically collaborate with team members across different locations?

Remote quantitative social scientists often work closely with interdisciplinary teams, including data analysts, subject matter experts, and project managers, using digital collaboration tools like Slack, Zoom, and cloud-based platforms. Effective communication is crucial, as much of the work involves sharing data insights, co-authoring research papers, and coordinating on statistical analyses. Regular virtual meetings, clear documentation, and shared repositories help ensure alignment and smooth project progress, despite geographic dispersion. Building strong working relationships remotely can be challenging at first, but consistent communication and proactive engagement usually lead to successful team outcomes.

What is the difference between Remote Quantitative Social Science vs Remote Data Analyst?

AspectRemote Quantitative Social ScienceRemote Data Analyst
Required CredentialsAdvanced degrees in social sciences, statistics, or related fieldsBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentResearch-focused, often in academia, think tanks, or social research firmsBusiness, marketing, or tech companies analyzing data for decision-making
Industry UsageSocial sciences, policy research, academiaBusiness, finance, healthcare, marketing

Remote Quantitative Social Science involves analyzing social data to understand societal trends, often requiring advanced degrees and research expertise. Remote Data Analysts focus on interpreting data to support business decisions, typically with a bachelor's or master's degree. While both roles involve data analysis, the social science role emphasizes societal insights, whereas data analysts serve business needs.

What is a remote quantitative social science job?

A remote quantitative social science job involves conducting research and analysis in fields like sociology, psychology, economics, or political science using statistical and mathematical methods, all while working from a remote location. Professionals in these roles collect and analyze numerical data to understand social phenomena, trends, and behaviors. They often use software tools for data analysis and collaborate with teams virtually. These positions are ideal for those with strong analytical skills and a background in social sciences and statistics.
More about Remote Quantitative Social Science jobs
What cities are hiring for Remote Quantitative Social Science jobs? Cities with the most Remote Quantitative Social Science job openings:
What are the most commonly searched types of Quantitative Social Science jobs? The most popular types of Quantitative Social Science jobs are:
What states have the most Remote Quantitative Social Science jobs? States with the most job openings for Remote Quantitative Social Science jobs include:
Infographic showing various Remote Quantitative Social Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,903 per year, or $36 per hour.
Research Associate

Research Associate

Social Science Research Council

New York, NY โ€ข On-site, Remote

$80K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Summary

The Social Science Research Council (SSRC) is an independent, international, nonprofit organization that works to mobilize social science knowledge for the public good. It advances interdisciplinary research in the social sciences and related disciplines through a wide variety of research programs, publications, workshops and conferences, fellowships and grants, and scholarly exchanges.

Measure of America (MOA) is an initiative of the SSRC dedicated to stimulating fact-based public debate about issues of well-being and access to opportunity in the United States. Through reports, interactive online tools, and evidence-based research, Measure of America breathes life into numbers, using data to identify areas of need, pinpoint levers for change, and track progress over time. We measure what matters for human well-being and develop tools for understanding opportunity and inequality in America. Our work informs decisions made across the United States, has guided the allocation of hundreds of millions of dollars in public and private funding, is used as the foundation for community policy discussion and action, and shapes public debate in the highest-profile media outlets in the nation. More information about the program is available atย www.measureofamerica.org.

Measure of America is seeking a Research Associate with strong quantitative social science skills and experience to join our high-impact team. The Research Associate designs and independently executes quantitative research that undergirds our reports and interactive tools; contributes qualitative research and project management; and upholds high standards of accuracy and detail.

This role is ideal for a quantitative researcher who wants to own end-to-end work that directly shapes public-facing research products. You'll help build indicators and analyses that appear in MOA reports and interactive tools used by a broad audience of nonprofit leaders, municipalities, journalists, and policymakers-and you'll work closely with a small, collaborative team where your work has clear visibility and impact.

Responsibilities

  • Lead quantitative research on well-being, human flourishing, and access to opportunity (and related equity/public health/social and economic research topics)
  • Own end-to-end analytic workstreams for high-visibility projects-from research design and data acquisition through cleaning, analysis, QA/reproducibility, and integration into reports and interactive tools
  • Develop and communicate quantitative insights through clear data visualizations, written summaries, presentations, and web-based outputs (e.g., mapping tools/pages), in collaboration with a small research team and external technical and design contractor
  • Acquire, compile, and clean datasets from diverse public and private sources (especially U.S. Census/ACS and public health authorities)
  • Apply appropriate statistical methods to large datasets (e.g., descriptive analysis and hypothesis testing) and document methodological choices and tradeoffs
  • Build and maintain indicators/indices along with documentation, data-quality validation to ensure transparent, replicable outputs
  • Strengthen team-wide research quality and speed by developing shared infrastructure (templates/codebase/pipelines/standards), serving as a cross-project data and methods resource, and leading replication/QA reviews prior to publication
  • Represent MOA externally through presentations to stakeholders at meetings and conferences
  • Additional duties as assigned

Qualifications

  • Required education and experience:
    • ย  A master's degree in a quantitative social science or related field (e.g., public health, sociology, economics, statistics, data science, or an interdisciplinary or related field with a strong quantitative component) AND
    • ย At least three years of full-time quantitative social science or public health work experience
  • Demonstrated experience compiling and analyzing quantitative data, including analyzing large public datasets
  • Demonstrated project management skills, including coordinating timelines and stakeholders
  • Natural attention to detail and drive for order that yields accuracy and reliability in the data and analysis you work with
  • Strong written and verbal communication skills; ability to translate quantitative findings for technical and non-technical audiences
  • Collaborative, iterative working style with strong judgment and follow-through; able to take ownership while partnering effectively with colleagues and stakeholders to improve processes and deliverables
  • Familiarity and facility with the principles of social scientific inquiry and reproducible research
  • Required skills: proficiency with R or Python (R preferred); GIS; Excel; reproducible workflows
  • Preferred skills: database management; design tools; version control; web development

Terms, Salary and Benefits ย 

Annual salary range: $80,000 - $90,000, depending upon experience and credentials. Comprehensive benefits include health, dental, vision, disability, life, and gym reimbursement; annual tuition and/or student loan reimbursement; pension plan and tax savings programs; generous vacation and sick leave; and more.

Location terms: Candidates should be present in the New York metro area upon start of employment and have the ability and desire to work in-person at the SSRC office in Midtown three days per week.

Application Informationย ย ย ย 

To apply, submit your cover letter, resume, and short writing sample or project that demonstrates your quantitative research abilities in the social sciences. In your cover letter, please include the answer to this exercise:ย Imagine you are presenting a data point from the Census Bureau on school enrollment in a rural area that has a high margin of error. How would you frame this for an external audience?

In addition, please list your undergraduate and graduate school information in the education section below.

Final-round interviews will be in-person at the SSRC Midtown office.

The Social Science Research Council is an equal opportunity and affirmative action employer. We are dedicated to equal employment opportunity and to cultivating and sustaining a diverse, equitable, and inclusive workforce.ย SSRC maintains a policy of nondiscrimination with all employees and applicants for employment. All aspects of employment with the Council are made on the basis of competence, skill, and qualifications and will not be influenced in any manner by race, creed, color, religion, sex/gender, national origin/ancestry, ethnicity, age, political affiliation, sexual orientation, marital or domestic partner status, medical conditions (including pregnancy and/or genetic information) or physical or mental disability, citizenship status, or any other categories prohibited by law.