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Data Science Research Assistant Jobs (NOW HIRING)

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

Research Assistant

Downing, WI

$19.25 - $26.50/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

The Research Assistant will contribute to interdisciplinary projects within the Department of ... D. degree program in Computer Science, Data Science, Biomedical Engineering, or a related field

The Research Assistant will contribute to interdisciplinary projects within the Department of ... D. degree program in Computer Science, Data Science, Biomedical Engineering, or a related field

Research Assistant

College Station, TX

$16 - $22/hr

Job Title Research Assistant Agency Texas A&M University Department Educational Adm & Human ... on AI, data science, and computer engineering initiatives. What you need to know Salary:

Research Assistant

Detroit, MI · On-site

$19 - $26.25/hr

... data collection efforts for one or more research projects - may include other collaborating ... MINIMUM QUALIFICATONS * Bachelor's Degree in any area of social science research (including ...

$19 - $26/hr

Field work ranging from routine sensor maintenance, data downloads, and sensor installation, often ... research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn ...

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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 Jun 29, 2026, the average hourly pay for data science research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 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 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 key skills and qualifications needed to thrive as a Data Science Research Assistant, and why are they important?

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 do Data Science Research Assistants 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.
More about Data Science Research Assistant jobs
What cities are hiring for Data Science Research Assistant jobs? Cities with the most Data Science Research Assistant job openings:
What are the most commonly searched types of Data Science Research jobs? The most popular types of Data Science Research jobs are:
What states have the most Data Science Research Assistant jobs? States with the most job openings for Data Science Research Assistant jobs include:
Infographic showing various Data Science Research Assistant job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 82% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.
Research Assistant

Research Assistant

Howard University

Washington, DC • On-site

$21.75 - $30/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

133rd of 541 rated colleges and universities


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
JOB PURPOSE:
Research Assistant will assist with user testing and user centered design of biometric technologies necessary for creating audio captcha technology. The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in preparation of briefs to the sponsor and engage in regular meeting updates to the sponsor on project deliverables.
SUPERVISORY AUTHORITY:
Research Assistant will supervise and work alongside the undergraduate students. Research Assistant will contribute towards monthly reports, quarterly reports and scientific publications.
NATURE AND SCOPE:
Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed.
PRINCIPAL ACCOUNTABILITIES:
• Assist with AI research initiatives from conception to implementation.
• Analyze research data critically, translating findings into actionable insights.
• Collaborate across disciplines, integrating diverse expertise into your work.
• Disseminate knowledge through scholarly papers and compelling presentations to stakeholders.
• Design and validate NLP techniques, contributing to the broader field with innovative solutions.
• Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology.
CORE COMPETENCIES:
Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting.
• Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML).
• Exceptional communication and collaborative skills.
MINIMUM REQUIREMENTS:
Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in machine learning and data science; advanced degrees may offset experience requirements
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