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Data Science Research Assistant Jobs in Nevada (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Las Vegas, NV · On-site

$97K - $128K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Care Access

Clinical Research Assistant, PRN

Las Vegas, NV · On-site

$34 - $44/hr

As a Clinical Research Assistant, PRN , you'll play a key role in delivering life-changing research ... Study Operations & Data Management: Accurately document all procedures and results in approved ...

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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 10, 2026, the average hourly pay for data science research assistant in Nevada is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $25.96 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?

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 are the most commonly searched types of Data Science Research jobs in Nevada? The most popular types of Data Science Research jobs in Nevada are:
What are popular job titles related to Data Science Research Assistant jobs in Nevada? For Data Science Research Assistant jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Nevada look for? The top searched job categories for Data Science Research Assistant jobs in Nevada are:
Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,405 per year, or $22.3 per hour.

Clinical Research Assistant

ECN Operating LLC

Las Vegas, NV

Full-time

Re-posted 24 days ago

Job description

Position Summary
The Research Assistant supports the execution of clinical research studies by performing
administrative, technical, and participant-focused tasks under the supervision of the
Clinical Research Coordinator and Principal Investigator. This role plays a critical part in
ensuring high-quality data collection, regulatory compliance, and participant safety. The
Research Assistant works collaboratively with the clinical team to facilitate study activities
in accordance with Good Clinical Practice (GCP) guidelines, study protocols, and
institutional policies.


Key Responsibilities
Study Support & Coordination

  • Assist in preparing study materials, source documents, and regulatory binders.
  • Support participant screening, recruitment, and scheduling in accordance with study protocols.
  • Maintain accurate participant logs and assist in tracking enrollment progress.
  • Ensure study areas, supplies, and equipment are organized and ready for study visits.

Data & Documentation

  • Accurately record data from source documents into electronic case report forms (eCRFs) or databases.
  • Maintain confidentiality and integrity of participant data in compliance with HIPAA and institutional standards.
  • Assist in resolving data queries and ensuring timely data entry.
  • Support document management, filing, and archiving according to regulatory requirements.

Participant Interaction

  • Greet and assist study participants during visits to ensure a positive experience.
  • Prepare consent materials and provide administrative support during the informed consent process.
  • Escort participants to appropriate testing areas and assist clinical staff with noninvasive study procedures as directed.

Regulatory & Compliance

  • Follow Good Clinical Practice (GCP) and institutional policies at all times.
  • Support compliance with IRB, sponsor, and regulatory agency requirements.
  • Participate in site audits, monitoring visits, and internal quality reviews as needed.

Team Collaboration

  • Work closely with Clinical Research Coordinators, Principal Investigators, and site teams to ensure timely completion of study milestones.
  • Participate in team meetings, training, and continuing education to stay current with study and regulatory updates.
  • Contribute to process improvements and operational efficiency initiatives.

Qualifications

  • Associate or bachelor’s degree in a health sciences, biology, psychology, or related field preferred.
  • Current phlebotomy certification or previous phlebotomy experience is strongly preferred.
  • Previous experience in healthcare or research setting is strongly preferred.
  • Familiarity with clinical trials, GCP, HIPAA, and human subjects research regulations are desirable.
  • Strong organizational, communication, and time management skills.
  • Ability to work accurately in a fast-paced environment with strong attention to detail.
  • Proficiency with Microsoft Office and data entry systems; experience with EDC or CTMS systems a plus.

Core Competencies

  • Accuracy and Attention to Detail
  • Professionalism and Confidentiality
  • Team Collaboration
  • Adaptability and Initiative
  • Ethical Conduct and Compliance Awareness

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