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Quantitative Research Assistant Jobs in Wisconsin

Baylor College of Medicine

WI · On-site

$120 - $170/hr

Medicine - Health Services Research (Assistant/Associate Professor) Division: Medicine Work ... The successful candidate will hold a doctoral degree and possess strong expertise in quantitative ...

Yuso Bv

WI · On-site

$81 - $110/hr

... assist in maintaining the balance of the electricity grid at the same time. YUSO's expertise is ... Responsibilities * Research & develop asset-backed trading strategies. This constitutes ...

CFA Institute

Equity Research Analyst

Milwaukee, WI · On-site

$65 - $95/hr

Provide quantitative support for industry- and company-specific research and assist in the preparation of financial models, written reports, and field research * Collect industry data and provide a ...

New

Baird

Equity Research Analyst

Milwaukee, WI · On-site

... quantitative support for industry- and company-specific research and assist in the preparation of financial models, written reports, and field research • Collect industry data and provide a level ...

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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 Wisconsin?

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

What are popular job titles related to Quantitative Research Assistant jobs in Wisconsin?

For Quantitative Research Assistant jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Quantitative Research Assistant jobs in Wisconsin look for?

The top searched job categories for Quantitative Research Assistant jobs in Wisconsin are:

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

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

Quantitative Research Assistant jobs near you
Infographic showing various Quantitative Research Assistant job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Medicine - Health Services Research (Assistant/Associate Professor)

Baylor College of Medicine

WI • On-site

$120 - $170/hr

Other

Posted 15 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 629 rated colleges and universities

Job description

Job Title: 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.

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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