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Data Analysis Research Assistant Jobs in Ohio (NOW HIRING)

Research Assistant

Cincinnati, OH · On-site

$18.50 - $25.50/hr

Gastro Health is seeking a Full-Time Research Assistant to join our team! Gastro Health is a great ... Collects data as required by the protocol. * Assures timely completion of Source Documents.

Research Assistant

Cincinnati, OH · On-site

$18.50 - $25.50/hr

Gastro Health is seeking a Full-Time Research Assistant to join our team! Gastro Health is a great ... Collects data as required by the protocol. * Assures timely completion of Source Documents.

Research Assistant

Cincinnati, OH

$18.50 - $25.50/hr

Gastro Health is seeking a Full-Time Research Assistant to join our team! Gastro Health is a great ... Collects data as required by the protocol. * Assures timely completion of Source Documents.

Showing results 21-40

Data Analysis Research Assistant information

What does a data analysis research assistant do?

A Data Analysis Research Assistant supports research projects by collecting, organizing, and analyzing data using statistical software and tools. They help prepare data sets, run statistical tests, create data visualizations, and interpret results to assist in drawing meaningful conclusions for research studies. Their role often involves collaborating with researchers to ensure data accuracy and contributing to reports or publications. Attention to detail and familiarity with data analysis techniques are key aspects of the job.

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

To thrive as a Data Analysis Research Assistant, you need strong analytical skills, a solid understanding of statistics, and at least a bachelor’s degree in a relevant field such as mathematics, economics, or computer science. Familiarity with data analysis tools like Excel, SPSS, R, or Python, and sometimes certifications in data analytics, are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data accurately and convey findings to stakeholders. These skills ensure data-driven insights are reliable, actionable, and effectively support research objectives.

What are some common challenges faced by data analysis research assistants when working with large datasets, and how can they be addressed?

Data Analysis Research Assistants often encounter challenges such as incomplete data, inconsistencies, and processing delays when working with large datasets. To address these issues, it's important to use data cleaning techniques, establish clear protocols for data entry, and leverage tools like Python or R for efficient data manipulation. Collaborating closely with researchers and IT specialists also helps ensure data integrity and smooth workflow. Regular communication with team members can prevent misunderstandings and help resolve data-related issues quickly.
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Graduate Research Assistant - Statistical Analysis (Student)

Case Western Reserve University

Cleveland, OH • On-site

Full-time

Re-posted 3 days ago


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

34th of 617 rated colleges and universities


Job description

Description
The Marian K. Shaughnessy Nurse Leadership Academy at the Frances Payne Bolton School of Nursing, Case Western Reserve University, is seeking graduate students currently pursuing a Master of Science in Statistics to assist with data analysis and research support for nurses in Hong Kong. These nurses are working on evidence-based or research-focused projects, and the selected graduate students will play a crucial role in analyzing and interpreting the data they have collected.
Key Responsibilities:
  • Work directly with nurses in Hong Kong on various evidence-based or research-focused projects.
  • Assist in cleaning and checking data to ensure accuracy and integrity.
  • Help nurses define variables of interest for their research.
  • Conduct quantitative analysis for each assigned project, including descriptive statistics (means, standard deviations, frequencies), t-tests, Mann-Whitney U-test, Pearson correlation coefficients, and multiple regressions.
  • Perform qualitative analysis, as needed for each assigned project, including content analysis and coding using NVivo15 software.
  • Assist with the interpretation of project results and findings.
  • Provide remote support, coordinating work around your own schedule.

Job Details:
  • Remote work with flexible scheduling options.
  • Each project is anticipated to require 4-5 hours of work maximum.
  • Opportunity to gain experience in healthcare research and international collaboration.

Qualifications
  • Must be enrolled in the Master of Science or PhD in Statistics program at Case Western Reserve University.
  • Strong proficiency in statistical analysis and quantitative methods is required as this will be the majority of the work.
  • Experience with SPSS is required.
  • Experience with R and RStudio for statistical analysis is preferred but not required.
  • Experience with qualitative analysis, particularly using NVivo15 software, is preferred but not required.
  • Attention to detail and the ability to clean and manage data effectively is essential.
  • Strong written and verbal communication skills for collaborating with nursing professionals.
  • Ability to work independently, manage tasks efficiently, and meet deadlines with minimal supervision.

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