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Computational Social Science Jobs in Indiana (NOW HIRING)

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Computational Social Science information

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$38

$52

$70

How much do computational social science jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for computational social science in Indiana is $52.27, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $70.00 per hour, depending on experience, location, and employer.

What is computational social science?

Computational social science is an interdisciplinary field that uses computational methods, such as data analysis, simulations, and modeling, to study social phenomena and human behavior. It combines tools from computer science, statistics, and social sciences to analyze large-scale social data, like social media activity, online interactions, or census records. This approach helps researchers uncover patterns and trends that would be difficult or impossible to detect using traditional social science methods alone.

What types of data sources and analytical methods are commonly used in computational social science roles?

In Computational Social Science positions, professionals typically work with large and diverse datasets, including social media feeds, digital communication records, surveys, and online behavioral data. Analytical methods often involve a mix of quantitative techniques such as network analysis, machine learning, natural language processing, and agent-based modeling. Collaborative projects may require integrating insights from computer science, sociology, and statistics, making interdisciplinary teamwork a frequent part of the role. Adapting to evolving data privacy guidelines and ensuring ethical data use are also important daily considerations.

What are the key skills and qualifications needed to thrive as a computational social scientist, and why are they important?

To thrive as a Computational Social Scientist, you need a solid background in social science research methods, statistics, and programmingβ€”often supported by an advanced degree in a relevant field. Familiarity with data analysis tools such as Python, R, machine learning libraries, and experience with large datasets or social network analysis software is typical. Strong analytical thinking, interdisciplinary collaboration, and effective communication skills help you interpret results and convey insights to diverse audiences. These competencies are crucial for generating impactful, data-driven insights into complex social phenomena and informing decision-making.

What is the difference between Computational Social Science vs Data Scientist?

AspectComputational Social ScienceData Scientist
Required CredentialsSocial science background, programming skillsStatistics, programming, domain knowledge
Work EnvironmentResearch institutions, academia, social research firmsTech companies, finance, healthcare
Employer & Industry UsageUniversities, government agencies, social research organizationsCorporations, startups, consulting firms
Common Search & ComparisonYesYes

Computational Social Science focuses on analyzing social phenomena using computational methods rooted in social science theories, often within academic or research settings. Data Scientists, however, apply statistical and machine learning techniques to large datasets across various industries. While both roles require programming skills, Computational Social Science emphasizes social theory and research, whereas Data Science centers on data analysis and business insights.

What can I do with a computational social science degree?

A computational social science degree prepares individuals for roles such as data analyst, social data scientist, or research analyst, where they analyze social data using statistical tools, programming languages like Python or R, and modeling techniques. Graduates can work in academia, government agencies, or private sector organizations focused on social research, policy analysis, or market research. Strong skills in data analysis, machine learning, and social theory are often essential for these positions.

What are popular job titles related to Computational Social Science jobs in Indiana?

For Computational Social Science jobs in Indiana, the most frequently searched job titles are:

Infographic showing various Computational Social Science job openings in Indiana as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $108,716 per year, or $52.3 per hour.

Open Rank Professor of Political Science - Quantitative Methods for Social Science

Bloomington, IN β€’ On-site

Full-time

Posted 13 days ago


Job description

Position Details
Title Open Rank Professor of Political Science - Quantitative Methods for Social Science Appointment Status Tenure Department IU Bloomington Political Science Location Bloomington Position Summary
Quantitative Methods for Social Science (Open Rank)
The Department of Political Science at Indiana University, Bloomington invites applications for a full-time tenure track Open Rank position in the field of Quantitative Methods for Social Science, beginning August 1, 2027. Our goal is to hire the strongest candidate available who is doing interesting and important scholarship in this field and who can contribute to the Department's mission and campus's strengths in social sciences.
Candidates should have an active research agenda with strong promise of publication in leading venues, as well as excellent teaching credentials. We seek scholars whose work has the potential to make influential contributions to the discipline and who can contribute to methods training across the empirical subfields. We are interested in candidates who advance quantitative political science, whether by applying established methods creatively and rigorously to substantive questions or by developing new approaches to data analysis. We welcome applicants working across a variety of approaches, particularly computational and Bayesian, and with a range of data, including text, survey, and panel data. In addition to maintaining an ongoing research program, the successful candidate will be expected to teach courses at both the undergraduate and graduate levels and to participate actively in departmental activities.

Basic Qualifications
Candidates should demonstrate active research agendas with the promise for publication in high-quality venues and strong teaching credentials. In addition to maintaining an ongoing research program, this faculty member would be expected to teach courses at both the undergraduate and graduate levels, and to participate actively in departmental activities.
Department Contact for Questions
Questions regarding the position or application process should be directed to Amanda Campbell, Department Manager, e-mail: accamp@iu.edu, Department of Political Science, 210 Woodburn Hall, 1100 E. Seventh Street, Indiana University-Bloomington, Bloomington, Indiana, 47405-7110. Tel: 812-855-6308.
Additional Qualifications
Completed Ph.D. degree in Political Science by August 1, 2027.
Salary and Rank Open Rank, Tenured/Tenure-Track Special Instructions
All candidates should submit: (1) a cover letter describing research completed and planned; (2) a curriculum vitae; (3) a research statement; (4) two writing samples; (5) a teaching portfolio with a teaching statement and (if available) teaching evaluations; (6) an official transcript; and (7) three letters of recommendation.
Successful candidates will have completed their Ph.D. degree in Political Science by August 1, 2027.
All application materials should be submitted online to the attention of Professor Aurelian Craiutu, Department Chair, Department of Political Science at: https://indiana.peopleadmin.com/postings/34175.
Review of applications will begin on October 1, 2026, but applications will be accepted until the position is filled.
Before a conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate's eligibility for hire will be evaluated by Indiana University Bloomington on a case-by-case basis. Applicants should be aware that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.
For Best Consideration Date 10/01/2026 Expected Start Date 08/01/2027 Posting Number IU-101652-2026