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Data Science Research Assistant Jobs in New York

Sireen Irsheid at the NYU Silver School of Social Work is seeking a Data Science Research Assistant (master's or PhD level) with strong existing skills in quantitative data analysis and experience ...

... of Health Sciences. Job responsibilities may vary based on the needs of the research project and ... Assisting in developing data collection tools, such as survey or interview questions. * Assisting ...

... of Health Sciences. Job responsibilities may vary based on the needs of the research project and ... Assisting in developing data collection tools, such as survey or interview questions. * Assisting ...

AI Data Scientist Lead

Manhattan, NY · On-site

$140 - $190/hr

You'll engage in projects that integrate data science, research, and business domain expertise ... assistants and workflow automations powered by LLMs and multi-agent patterns. You will develop data ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

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Data Science Research Assistant information

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How much do data science research assistant jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data science research assistant in New York is $23.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $27.88 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the most commonly searched types of Data Science Research jobs in New York?

The most popular types of Data Science Research jobs in New York are:

What cities in New York are hiring for Data Science Research Assistant jobs?

Cities in New York with the most Data Science Research Assistant job openings:

Infographic showing various Data Science Research Assistant job openings in New York as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $49,856 per year, or $24 per hour.

Research Assistant

New York University

New York, NY • On-site

$30/hr

Part-time

Re-posted 9 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

82nd of 627 rated colleges and universities


Job description

Description
NYU Silver School of Social Work
Job Opportunity: Research Assistant
Location: 1 Washington Square North, NY, NY 10003
Part-Time: 10 hours/week; Hybrid
Expected Starting Date: ASAP
Contact: si880@nyu.edu
Compensation: $30/hour
Dr. Sireen Irsheid at the NYU Silver School of Social Work is seeking a Data Science Research Assistant (master's or PhD level) with strong existing skills in quantitative data analysis and experience working with large datasets to support ongoing projects focused on equity in education and disrupting school pushout.
Job Description
The intern will work on the Disrupting School Pushout project, which examines how systemic factors contribute to school pushout in New York City. The project connects data on neighborhood-level opportunity structures and school resource allocation with information about students' academic and mental health outcomes.
Job responsibilities include:
  • Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS and Stata.
  • Working with large datasets, including merging files into the data archive.
  • Creating clear data visualizations to communicate results (including GIS maps).
  • Assisting with the preparation of manuscripts, presentations, and reports based on study findings.
  • Supporting the project coordinator on the qualitative portion of the study (e.g., data organization, coding support, or integration of qualitative and quantitative findings).
  • Collaborating with Dr. Irsheid and team members to support both quantitative and qualitative aspects of the project.

Qualifications
Required Skills and Qualifications
  • Proficiency in SAS and Stata.
  • Demonstrated experience with quantitative data analysis, including multilevel modeling.
  • Proven ability to work with large datasets, including merging and managing complex files.
  • Experience with data visualization (graphs, GIS maps, figures).
  • Proficiency with GIS software and spatial data analysis is highly desirable.
  • Strong writing skills, including the ability to contribute to manuscripts and presentations.
  • Interest or experience in mixed-methods research and willingness to collaborate on qualitative aspects of the project.
  • High attention to detail and accuracy in coding, data management, and documentation.
  • Strong interest in issues of equity in education and school pushout

Application Instructions
Please apply by submitting a resume and cover letter on Handshake or Interfolio.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831