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Quantitative Research Assistant Jobs in Texas (NOW HIRING)

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant I position is responsible for providing technical ... quantitative and qualitative analyses. * Provides updates on assigned experiments and research ...

Research Assistant II, Pediatrics

Dallas, TX · On-site

$19 - $26.25/hr

The ideal candidate will have strong quantitative, organizational, and problem-solving skills, as ... Experience 1 year of experience as Research Assistant I or equivalent with Master's degree or 2 ...

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant I position is responsible for providing technical ... quantitative and qualitative analyses. * Provides updates on assigned experiments and research ...

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant I position is responsible for providing technical ... quantitative and qualitative analyses. * Provides updates on assigned experiments and research ...

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant II position is responsible for providing technical ... quantitative and qualitative analyses. * Effectively utilizes and operates laboratory and/or ...

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant II position is responsible for providing technical ... quantitative and qualitative analyses. * Effectively utilizes and operates laboratory and/or ...

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant II position is responsible for providing technical ... quantitative and qualitative analyses. * Effectively utilizes and operates laboratory and/or ...

Research Assistant

San Antonio, TX · On-site

$16.50 - $23/hr

Prepare, accomplish, and record quantitative and qualitative observations using data management ... As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San ...

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Showing results 1-20

Quantitative Research Assistant information

What is a quantitative research assistant?

Quantitative research assistants are professionals who support research projects by collecting, analyzing, and interpreting numerical data. They often use statistical software to manage datasets, perform statistical analysis, and help prepare reports or presentations based on their findings. These assistants typically work in academic, scientific, or business settings and collaborate closely with lead researchers or data scientists. Their work helps ensure that research conclusions are based on rigorous and accurate quantitative analysis.

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

To thrive as a Quantitative Research Assistant, you need strong analytical skills, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, or economics. Familiarity with statistical software such as R, Stata, SPSS, or Python, as well as experience with data management systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are key soft skills that set candidates apart. These skills are essential for ensuring the accuracy, reliability, and clarity of research findings, which directly impact the quality and credibility of quantitative research projects.

What are some common challenges quantitative research assistants face when managing large datasets, and how can these be addressed?

Quantitative Research Assistants often work with large, complex datasets that can present challenges such as data cleaning, ensuring accuracy, and maintaining data integrity. Handling missing values, outliers, or inconsistent formats requires attention to detail and strong technical skills in statistical software like R, Python, or SPSS. Collaborating closely with research teams can help clarify data requirements and resolve ambiguities early on. Regularly documenting procedures and validating data at each stage helps minimize errors and ensures reliable analysis results.

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

AspectQuantitative Research AssistantData Analyst
Required CredentialsBachelor's degree in statistics, economics, or related fieldBachelor's or master's in data science, statistics, or related field
Work EnvironmentResearch institutions, universities, market research firmsCorporate, finance, healthcare, or tech companies
Employer & Industry UsageAcademic and research settings, market research firmsBusiness analytics, finance, marketing departments
Common Search & ComparisonOften compared for data handling and research tasksCompared for data processing and reporting roles

The main difference is that Quantitative Research Assistants focus on supporting research projects with data collection and analysis in academic or research settings, while Data Analysts typically work in business environments analyzing data to inform decisions. Both roles require strong quantitative skills and similar educational backgrounds, but their work environments and primary objectives differ.

What are the most commonly searched types of Quantitative Research jobs in Texas?

The most popular types of Quantitative Research jobs in Texas are:

What cities in Texas are hiring for Quantitative Research Assistant jobs?

Cities in Texas with the most Quantitative Research Assistant job openings:

Infographic showing various Quantitative Research Assistant job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Temporary. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Medicine - Health Services Research (Assistant/Associate Professor)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 9 days ago


Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 620 rated colleges and universities


Job description

Medicine - Health Services Research (Assistant/Associate Professor)
Division: Medicine
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Summary
This position is based within IQuESt (Center for Innovations in Quality, Effectiveness and Safety), the largest health systems research center in the Southwest, dedicated to improving patient outcomes through high-quality, patient-centered research. We are seeking a full-time (40 hours/week) faculty member at the Assistant or Associate Professor level.
The successful candidate will hold a doctoral degree and possess strong expertise in quantitative research methods and analytics. An established record of scholarly activity is required. The role involves contributing to the design, execution, analysis, evaluation, and dissemination of health services and outcomes research.
Candidates must be highly motivated, detail-oriented, and able to work independently while meeting deadlines with minimal supervision. The ability to learn new methodologies, tools, and adapt to evolving research priorities is essential.
This role serves as a key faculty position providing methodological leadership, supporting grant development, conducting advanced analyses, and contributing to the institution's mission through research, mentorship, and service.
Job Duties
  • Apply advanced quantitative methods and study designs to conduct rigorous analyses of complex healthcare studies.
  • Develop and implement advanced statistical approaches using software such as SAS, R, or Stata.
  • Contribute to grant applications, reports, and research documentation.
  • Disseminate research findings through publications and presentations.
  • Experience with survey development, psychometrics, observational study design, large datasets, and data management (e.g., SQL) is a plus, but not essential.
  • Collaborate with multidisciplinary teams and stakeholders.
  • Communicate research methods and findings effectively to diverse audiences, including technical and non-technical stakeholders.
  • Ensure compliance with institutional and regulatory requirements.
  • Participate in mentorship, service, and other faculty responsibilities.

Minimum Qualifications
  • Doctoral degree (Ph.D. or equivalent) in Statistics, Biostatistics, Epidemiology, Psychology, Pharmacy, or a related quantitative field.
  • Demonstrated expertise in study design, quantitative methods, statistical analysis, and programming.
  • Proven scholarly productivity and experience contributing to grant development, dissemination, and collaborative research.
  • 5+ years of relevant experience.
  • Preferred: Experience in health services or outcomes research.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25131

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