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Interdisciplinary Social Science Internship Jobs

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Social Sciences Relevant additional backgrounds also considered Essential Job Functions: • ...

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Interdisciplinary Social Science Internship information

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$5

$16

$25

How much do interdisciplinary social science internship jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for interdisciplinary social science internship in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is the difference between Interdisciplinary Social Science Internship vs Social Science Research Assistant?

AspectInterdisciplinary Social Science InternshipSocial Science Research Assistant
Required CredentialsTypically enrolled students or recent graduates; no specific certification requiredUsually requires a relevant bachelor's degree; some positions prefer or require research experience
Work EnvironmentInternship settings, often in government, NGOs, or academic institutions; focus on learning and support rolesResearch labs, academic institutions, or policy organizations; involved in data collection and analysis
Employer & Industry UsageUsed by organizations offering training opportunities in social sciencesCommonly employed in research projects, academic studies, and policy analysis

While both roles involve social science concepts, an Interdisciplinary Social Science Internship focuses on gaining broad exposure and practical experience across multiple social science fields, often for students or early-career individuals. A Social Science Research Assistant typically supports specific research projects, handling data and analysis tasks. The internship emphasizes learning and skill development, whereas the research assistant role centers on contributing to ongoing research efforts.

What can you do with a degree in interdisciplinary social science internship?

A degree from an interdisciplinary social science internship prepares individuals for roles in research, policy analysis, community development, and social services. It develops skills in data analysis, critical thinking, and communication, which are valuable in government agencies, non-profit organizations, and consulting firms.
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What cities are hiring for Interdisciplinary Social Science Internship jobs?

Cities with the most Interdisciplinary Social Science Internship job openings:

What are the most commonly searched types of Interdisciplinary Social Science jobs?

The most popular types of Interdisciplinary Social Science jobs are:

What states have the most Interdisciplinary Social Science Internship jobs?

States with the most job openings for Interdisciplinary Social Science Internship jobs include:

Infographic showing various Interdisciplinary Social Science Internship job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $34,624 per year, or $16.6 per hour.

Senior Computational Social Scientist

Washington, DC

$82K - $129K/yr

Full-time

Re-posted 27 days ago


Job description

Washington, DC | Full-Time | Hybrid

Job Description

In this role, you'll apply data science and analytic methods directly to projects, turning large, often unstructured datasets into findings that teams and clients can act on. Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This is a multi-hatted role. You'll help lead our internal data efforts, stay hands-on with analysis and client delivery, and partner with the product team to shape Narrative Analytics, the platform our analysts use every day. Whether you come from a social science research background, a product-and-analytics path, or a more technical track, what matters most is that you can take messy, real-world data and make it useful to our internal team and end customers.

Responsibilities
  • Lead our data efforts
    • Guide internal data science work: shape the approach, hold quality high, and keep analysis reproducible and defensible.
    • Design and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Translate qualitative research questions into structured analytical workflows.
  • Build AI-powered analytical workflows
    • Design prompts, LLM chains, and agentic workflows that automate classification, thematic coding, entity extraction, and summarization at scale.
    • Build and evaluate repeatable analytical products with real quality controls and human-in-the-loop checks.
    • Experiment with emerging techniques (RAG, multi-step reasoning, tool-using agents) to extend what we can deliver.
  • Make data usable and clear
    • Handle complex cleaning, transformation, and wrangling so the data stays trustworthy.
    • Build dashboards and visualizations (Tableau, Superset, or similar) that make insight clear to clients and colleagues alike.
    • Turn findings into actionable recommendations and present them directly to clients with clarity and confidence.
  • Shape the product and work across streams
    • Work hand in hand with the product team to shape Narrative Analytics around what users actually need, bringing the analyst's and client's perspective into product design.
    • Collaborate across analytics, product, and client teams so the work fits together and reaches the people who depend on it.
    • Mentor junior analysts and interns and contribute technical sections to proposals and white papers.
Requirements
  • Must be eligible to work on US Government contracts.
  • A degree in a quantitative or analytical field (data science, computer science, statistics, computational social science, political science, economics, communications, or a related discipline), or equivalent hands-on experience.
  • 5+ years of relevant experience with a bachelor's (or 3+ with an advanced degree), including at least 2 years focused on data science with a track record of real impact.
  • Hands-on experience working with text-as-data: media, social media, or open-source text corpora.
  • Working proficiency in Python and/or R, plus solid SQL for pulling, transforming, and validating data.
  • Familiarity with core NLP and ML methods (text classification, topic modeling, sentiment and stance detection, embeddings, transformers) and with applying LLMs in real workflows (prompt engineering, structured outputs, integration).
  • The ability to explain technical work to non-technical audiences and to thrive in a fast-paced, collaborative team.
Ideal Candidates
  • Existing security clearance (SECRET or higher) a plus
  • Experience designing structured content analysis or analytical frameworks for text data.
  • Experience in information environment assessment, strategic communication analysis, or media landscape monitoring.
  • Experience shaping analytical tools or platforms around real user needs.
  • Experience with computational social science methods (network analysis, narrative framing, document similarity) that go beyond keyword search.
  • Experience translating social science research questions into scalable computational approaches.
Additional Information

If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.

Protagonist is an Equal Opportunity Employer. 

Salary Range: $82,216-$129,885 based on education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.