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Quantitative Research Assistant Jobs in Indiana (NOW HIRING)

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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 Indiana?

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

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

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

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

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

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

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

Quantitative Research Assistant jobs near you

Assistant Professor of Quantitative Sociology (tenure-track)

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 15 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

338th of 620 rated colleges and universities

Job description

Description
The Department of Sociology at the University of Notre Dame invites applications for an assistant professor (tenure-track) position with expertise in quantitative sociology set to begin in the fall of 2027. We especially welcome applications from scholars with proven expertise in AI-assisted, computational, network, or advanced statistical methods. We seek candidates who are advancing the methodological frontier in these areas by developing, extending, or creatively innovating quantitative approaches to sociological research. Duties include teaching, research, and service.
This position is affiliated with the Data, AI, and Computing (DAC) Initiative and will have teaching responsibilities with both the department of Sociology and the College of Arts & Letters Data Science programs.
The Department of Sociology at Notre Dame has long-standing excellence in the sociology of culture, education, movements and politics, religion, and theory. In recent years, we have established strengths in several other sociological areas, including family, gender & sexuality, global & transnational, health, organizations & institutions, race & ethnicity, and stratification. The faculty embraces a range of innovative methodological approaches and has expertise that covers the globe. We are collegial, supportive, and ambitious.
Applications will be evaluated on a rolling basis with full consideration given to applications received by September 1, 2026 or until the position is filled. Further information about the Department of Sociology may be found at https://sociology.nd.edu. If you have questions, please contact Professor Sarah Mustillo (smustill@nd.edu).
Qualifications
Candidates at the entry level must have completed all requirements for a Ph.D. degree or have completed all but dissertation in Sociology or a closely related field. Candidates at the advanced assistant professor level must have a Ph.D. in Sociology or a closely related field.
The University of Notre Dame and its Department of Sociology are committed to teaching excellence and mentorship at both the graduate and undergraduate levels.
Application Instructions
The following application materials should be submitted through the Interfolio system: a letter of application, CV, three letters of reference, a research statement, a teaching statement, course evaluations (if available), and a recent sample of representative publication-if possible, please include at least one solo-authored writing sample.
Questions about the positions may be addressed to Professor Sarah Mustillo (smustill@nd.edu).
Salary and Benefits
Appointment salary and rank are competitive and commensurate with experience and qualifications. The University offers an excellent benefits package.
Environment
The University of Notre Dame is a highly selective national Catholic teaching and research university in northern Indiana about ninety miles from Chicago. Approximately 9,000 undergraduates and 4,200 graduate students pursue a broad range of studies.
The University of Notre Dame is a Catholic academic community of higher learning, animated from its origins by the Congregation of Holy Cross. The University is dedicated to the pursuit and sharing of truth for its own sake. As a Catholic university, one of its distinctive goals is to provide a forum where, through free inquiry and open discussion, the various lines of Catholic thought may intersect with all the forms of knowledge found in the arts, sciences, professions, and every other area of human scholarship and creativity.
For more information about the University of Notre Dame, please visit the University of Notre Dame homepage at http://nd.edu/.

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