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Research Methods Jobs in New York (NOW HIRING)

New York University

Research Manager

New York, NY · On-site

$30/hr

Experience with qualitative and/or quantitative research methods. * Interest in research with POC populations * Strong project management skills (related to research preferred) * Excellent ...

Touro University

Research Assistant

Manhattan, NY · On-site

$20/hr

Assisting in data collection using methods such as survey administration, focus groups or individual interviews, or testing. * Managing and entering data on research software such as Qualtrics or ...

Touro University

Research Assistant

Manhattan, NY

$20/hr

Assisting in data collection using methods such as survey administration, focus groups or individual interviews, or testing. * Managing and entering data on research software such as Qualtrics or ...

NDWA

Director of Research

New York, NY · On-site

Apply advanced quantitative and qualitative methods to analyze large datasets, including survey data, administrative data, and primary data collection * Produce rigorous, engaging research ...

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Research Methods information

See New York salary details

$40.5K

$116K

$155.9K

How much do research methods jobs pay per year?

As of Aug 11, 2026, the average yearly pay for research methods in New York is $115,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $113,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a research methods specialist, and why are they important?

To thrive as a Research Methods Specialist, you need a strong background in research design, statistical analysis, and data interpretation, often supported by an advanced degree in a relevant field such as psychology, sociology, or statistics. Familiarity with statistical software (e.g., SPSS, R, or SAS), survey tools, and data management systems is typically required. Critical thinking, attention to detail, and effective communication are crucial soft skills for designing robust studies and sharing findings. These competencies ensure that research is rigorous, reliable, and actionable for informing decisions or advancing knowledge.

What are research methods?

Research methods are the systematic strategies and techniques that researchers use to collect, analyze, and interpret data. They can be broadly categorized into qualitative and quantitative methods, depending on whether the focus is on numerical data or non-numerical insights. Choosing the right research method is crucial for ensuring the validity and reliability of the study's outcomes. Examples include surveys, experiments, interviews, observations, and case studies.

What is the difference between Research Methods vs Data Analyst?

AspectResearch MethodsData Analyst
Required CredentialsTypically degrees in social sciences, research methods certificationsDegrees in statistics, data science, or related fields
Work EnvironmentAcademic, research institutions, market research firmsCorporate, finance, marketing departments
Industry UsageDesigning studies, collecting data, analyzing research resultsInterpreting data, creating reports, supporting decision-making

Research Methods focus on designing and conducting research studies, while Data Analysts interpret data to inform business or academic decisions. Both roles require analytical skills but differ in scope and application.

What are some common challenges faced by professionals working in research methods, and how can they be addressed?

Professionals in research methods often encounter challenges such as ensuring data validity, managing large or complex datasets, and staying updated with the latest methodological advancements. Collaboration with subject matter experts and statisticians is key to addressing these issues, as is regular participation in training and workshops. Additionally, clear communication with stakeholders helps ensure that research objectives and methodologies are aligned, reducing misunderstandings and improving outcomes.

What do you do in research methods?

Research methods involve designing and conducting studies to gather data, using techniques such as surveys, experiments, and observations. Professionals in this field analyze data with statistical tools and ensure the research follows ethical standards. Strong analytical skills and knowledge of research software are essential for success.
What are popular job titles related to Research Methods jobs in New York? For Research Methods jobs in New York, the most frequently searched job titles are:
What job categories do people searching Research Methods jobs in New York look for? The top searched job categories for Research Methods jobs in New York are:
Research Methods jobs near you
Infographic showing various Research Methods job openings in New York as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,981 per year, or $55.8 per hour.

Research Engineer, Platform

Basis Research

New York, NY • On-site

Full-time

Re-posted 21 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research Engineers on the Platform team at Basis advance research methods and package them into reusable modules that others can build on. You will develop Basis core technology modules (fundamental algorithmic components like ChiRho, Effectful, Weighted), contribute research-driven capabilities to commercial platform offerings, and ensure research advances have clear paths to impact-whether commercial or societal.
We are looking for people who bridge research excellence and engineering rigor. The ideal Research Engineer has both published research and shipped production code, understands how to translate experimental techniques into robust implementations, and thinks carefully about software architecture that enables others to build on your work. You will identify high-value research problems aligned with Basis mission and develop them from ideation through concrete implementation.
This role is distinguished from Operations Research Engineers (who focus on internal tooling) by emphasis on advancing research methods for platform and commercial applications. You will work on Core Tech Module Teams and contribute to research that defines Basis's technological foundation.
We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to do rigorous, high-quality, robust science and engineering, but are not afraid to tinker, make mistakes, and explore radically different ideas to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
We expect you to:
  • Have demonstrated ability to conduct research that is of high quality. Possible ways to demonstrate this include:
    • Publications at top-tier conferences (NeurIPS, ICML, ICLR, POPL, PLDI, OOPSLA)
    • Technical reports or preprints showing novel research contributions
    • Open-source research projects with significant adoption or citations
  • Have demonstrated ability to drive software projects from start to finish. This could be evidenced by:
    • Research code released as production-quality libraries or frameworks
    • Contributions to major open-source projects (PyTorch, TensorFlow, JAX, or equivalents)
    • Systems built that span research prototypes through deployable implementations
  • Possess deep knowledge of relevant technical areas including probabilistic programming, causal inference, program synthesis, neural architectures, or related fields central to Basis research directions.
  • Be proficient in research engineering tools including Python, PyTorch/JAX, version control, testing frameworks, documentation systems, and software engineering practices that make research code maintainable and extensible.
  • Understand paths from research to impact. You think about how research advances can translate to commercial applications, platform capabilities, or open-source contributions that benefit broader communities.
  • Value software quality and reusability. You design modules that others can build on, write comprehensive documentation and tests, and architect systems that remain coherent as they evolve.
  • Progress with autonomy and intellectual curiosity. You can identify valuable research directions, design experiments, implement solutions, and evaluate results without extensive direction.
  • Be excited about solving real-world problems and having positive societal impact through research that advances our understanding of intelligence and our ability to tackle intractable challenges.

In addition, the following would be an advantage:
  • PhD in Computer Science, Machine Learning, Statistics, or related field with publications at top-tier venues.
  • Experience at research organizations that successfully productionized innovations (Bell Labs, PARC, Microsoft Research, Google Research, Meta FAIR, DeepMind).
  • Contributions to widely-used research libraries or frameworks.
  • Background spanning multiple areas (ML + PL, causal inference + probabilistic programming, theory + systems).
  • Experience with Bayesian methods, probabilistic programming languages, or causal modeling.
  • Track record of research that influenced commercial products or open-source ecosystems.

Responsibilities:
  • Advance research methods in areas aligned with Basis mission including probabilistic programming, causal inference, reasoning under uncertainty, program synthesis, and foundations of machine learning.
  • Build Basis core technology modules producing fundamental algorithmic components that provide reusable capabilities across multiple projects and applications.
  • Package research into production-ready code by translating experimental techniques into robust implementations with comprehensive documentation, tests, and examples that enable others to build on your work.
  • Contribute to Platform development by developing research-driven capabilities that enhance commercial offerings, integrating novel techniques into platform APIs and features.
  • Identify high-value research problems by staying connected to research frontiers, understanding commercial and societal needs, and recognizing opportunities where Basis capabilities can make significant impact.
  • Develop new project concepts from ideation through concrete vision, scoping research questions, defining technical approaches, and creating compelling cases for new initiatives.
  • Collaborate across research and engineering teams to ensure research advances integrate smoothly with platform infrastructure and that engineering constraints inform research directions.
  • Ensure research has path to impact whether through commercial deployment, open-source release, academic publication, or transfer to other projects within Basis portfolio.
  • (Optionally) Publish and present findings in journals and conferences to contribute to broader research community and establish Basis thought leadership.
  • Contribute to the culture and direction of Basis by modeling excellence at the intersection of research and engineering, rigorous thinking about foundations, and commitment to building tools that advance societal capability.
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: New York City
  • Salary range: Competitive salary.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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