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Data Science Research Assistant Remote Jobs (NOW HIRING)

Entry-Level Research Assistant Remote

Lawndale, CA ยท Remote

$17.75 - $23.50/hr

Lawndale, United States | Posted on 08/26/2025 Join Our Team as a Work-From-Home Data Entry ... Participate in research studies that contribute to meaningful outcomes. Enjoy the freedom of remote ...

At least two (2) years of experience applied data science research or big data analytics ... Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we ...

At least two (2) years of experience applied data science research or big data analytics ... Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we ...

The Data Science Research team leads the creation and development of new products to meet the ever changing needs of the digital advertising industry. We focus on building high performing products ...

$15.50 - $20.50/hr

Data Entry Assistant (Remote/Part-time) Florence, Alabama, United States Job Openings Data Entry Assistant (Remote/Part-time) About the Job Data Entry Assistant (Remote/Part-time) Important: After ...

$15.50 - $20.50/hr

Data Entry Assistant (Remote/Part-time) Montgomery, AL, United States Job Openings Data Entry Assistant (Remote/Part-time) About the Job Data Entry Assistant (Remote/Part-time) Important: After ...

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Data Science Research Assistant Remote information

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

As of Jun 3, 2026, the average hourly pay for data science research assistant remote 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 are the key skills and qualifications needed to thrive as a Data Science Research Assistant (Remote), and why are they important?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote Data Science Research Assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What are Data Science Research Assistants (Remote)?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

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

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

More about Data Science Research Assistant Remote jobs
What cities are hiring for Data Science Research Assistant Remote jobs? Cities with the most Data Science Research Assistant Remote job openings:
What states have the most Data Science Research Assistant Remote jobs? States with the most job openings for Data Science Research Assistant Remote jobs include:
Infographic showing various Data Science Research Assistant Remote job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Assistant Intern (Remote)

Trace Heart

Mountain View, CA โ€ข Remote

$3K - $5K/yr

Internship

Posted 15 hours ago


Job description

Title: Research Assistant Intern
Organization: Trace Heart
Location: Remote
Time Commitment: 20-40 hours per week
Position Type: Internship

About Trace Heart
Trace Heart is building accessible, evidence-based tools to improve cardiovascular risk awareness, early response, and equitable heart health support. Our work focuses on underserved communities, including low-income populations, rural communities, and underrepresented groups.

Role Overview
The Research Assistant Intern will support Trace Heart's early research efforts related to cardiovascular health, prevention, digital health, risk awareness, emergency response, and health equity. This role is ideal for a student or early-career applicant interested in public health, medicine, biology, digital health, or health equity.

Responsibilities

  • Conduct literature reviews on cardiovascular disease prevention, risk factors, symptom recognition, response delays, and digital health access.
  • Research existing cardiovascular risk tools, patient education resources, and community health interventions.
  • Summarize findings into clear research briefs for the Trace Heart team.
  • Help identify gaps in cardiovascular care, especially for underserved populations.
  • Support development of educational materials, outreach content, surveys, and reports.
  • Organize references, source links, notes, and research documents.
  • Contribute ideas for evidence-based programs, tools, and outreach strategies.

Qualifications

  • Interest in cardiovascular health, public health, medicine, biology, digital health, health equity, or preventive care.
  • Strong research, writing, and organization skills.
  • Ability to summarize complex information clearly.
  • Comfortable using Google Docs, Google Sheets, PubMed, Google Scholar, CDC resources, or similar tools.
  • Able to work independently and meet deadlines.
  • Prior research experience is helpful but not required.

Preferred Qualifications

  • Coursework in public health, biology, medicine, epidemiology, health policy, data science, psychology, or a related field.
  • Familiarity with scientific papers, citations, literature reviews, or evidence summaries.
  • Interest in underserved communities, rural health, social determinants of health, or health equity.
  • Experience creating presentations, reports, infographics, or educational materials.

What You'll Gain

  • Hands-on experience supporting an early-stage health equity initiative.
  • Exposure to cardiovascular health research, digital health, and public health strategy.
  • Experience translating research into practical tools and outreach materials.
  • Opportunity to contribute to evidence-based program development.