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Computational Research Assistant information

How does a computational research assistant typically collaborate with principal investigators and other team members during a research project?

Computational Research Assistants often work closely with principal investigators (PIs), postdoctoral researchers, and other team members to design, implement, and analyze computational experiments. They are responsible for developing scripts, managing datasets, and ensuring the reproducibility of results. Regular meetings and progress updates are common, and assistants are expected to communicate findings clearly and troubleshoot technical issues collaboratively. This role requires both independent initiative and a strong team-oriented approach to meet research objectives efficiently.

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

To thrive as a Computational Research Assistant, you need strong analytical skills, proficiency in programming languages like Python or R, and a background in mathematics, statistics, or computer science. Familiarity with data analysis tools, version control systems (such as Git), and experience using high-performance computing environments or relevant software is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate with research teams and interpret complex results. These skills and qualities are crucial for producing accurate, reliable research outcomes and supporting innovative scientific investigations.

What is a computational research assistant?

Computational Research Assistants are professionals who support scientific and academic research projects by applying computational methods, programming, and data analysis techniques. They often work with researchers to develop models, run simulations, analyze large datasets, and assist in the interpretation of results. Their work is essential in fields such as biology, physics, social sciences, and engineering, where complex data and computational tools are required to conduct research. Typically, they have strong skills in programming languages like Python, R, or MATLAB, and possess a background in the relevant scientific discipline.

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

AspectComputational Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageAcademic and research institutions, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonYesNo

The Computational Research Assistant and Data Analyst roles share similarities in data handling and analytical skills, but differ mainly in their focus. Computational Research Assistants typically work in research settings, supporting scientific projects with programming and modeling, while Data Analysts focus on interpreting data to inform business decisions. Both roles require strong technical skills and relevant education, but their work environments and primary objectives differ.

What are popular job titles related to Computational Research Assistant jobs in Indiana? For Computational Research Assistant jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Computational Research Assistant jobs in Indiana look for? The top searched job categories for Computational Research Assistant jobs in Indiana are:
What cities in Indiana are hiring for Computational Research Assistant jobs? Cities in Indiana with the most Computational Research Assistant job openings:
Computational Research Assistant jobs near you
Infographic showing various Computational Research Assistant job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visi...

Indiana University Academic Positions

Bloomington, IN

$56K/yr

Full-time

Re-posted 22 days ago

Job description

Position Details
Title Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visiting Research Fellow Appointment Status Non-Tenure Track Department IU Bloomington Jewish Studies Location Bloomington Position Summary

Visiting Research Fellow

Position Details
Department: Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program
Location: Indiana University Bloomington
Appointment: Non-Tenure Track, 1-year initial appointment (renewable for 2nd year, depending on funding and performance)
Compensation: $56,000 plus benefits
Start Date:April 2026
Position Summary
ISCA seeks a visiting research fellow to advance understanding of contemporary antisemitism through computational analysis of social media platforms. This position focuses on digital humanities and social media analytics under Dr. Gunther Jikeli's supervision, with particular emphasis on analyzing Instagram activities and rhetoric patterns.
Key Responsibilities
Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure
Lead and expand Instagram analysis project examining campus groups
Develop new computational research projects on contemporary antisemitism
Build computational pipelines for social media data collection and analysis
Supervise graduate and undergraduate research assistants
Write scientific publications and present findings
Required Qualifications
MA in computational social science, digital humanities, computer science, or related field
Python proficiency for data analysis and social media data collection
Demonstrated experience leading computational research projects with social media analysis
Strong organizational skills and ability to work as team leader
Excellent written and oral communication skills
Preferred Qualifications
Background in antisemitism studies
Experience with R, NLP and deep learning libraries
High performance computing experience
Proficiency in German, French, or Arabic
How to Apply
Submit the following through Indiana University's PeopleAdmin system: https://indiana.peopleadmin.com/postings/31588
Cover letter describing research background, career goals, and interest in position
Current CV
Contact information for two references
Writing sample (optional)

Review of applications begins February 14, 2026 and continues until position is filled.

Contact: Dr. Gunther Jikeli (gjikeli@iu.edu)

Note: This position involves research on sensitive topics and may require handling potentially disturbing content. Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
Basic Qualifications Required Qualifications
MA in computational social science, digital humanities, computer science, or related field
Python proficiency for data analysis and social media data collection
Demonstrated experience leading computational research projects with social media analysis
Strong organizational skills and ability to work as team leader
Excellent written and oral communication skills

Department Contact for Questions
Dr. Gunther Jikeli (gjikeli@iu.edu)
Additional Qualifications Preferred Qualifications
Background in antisemitism studies
Experience with R, NLP and deep learning libraries
High performance computing experience
Proficiency in German, French, or Arabic

Salary and Rank $56,000 - Visiting Research Associate ; FV8 Special Instructions For Best Consideration Date 02/13/2026 Expected Start Date 04/01/2026 Posting Number IU-101437-2025

Apply