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Entry Level Computer Science Research Jobs in Washington, DC

Bachelor's degree in computer science, applied mathematics, physics, engineering, operations research, or related field * Programming experience in Java, C, C++, MATLAB, Mathematica and/or Python

... research & development customers. Areas of focus span a broad spectrum from data analysis and ... Bachelor's degree in computer science, applied mathematics, physics, engineering, operations ...

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Entry Level Computer Science Research information

What is an entry level computer science research position?

Entry level computer science research positions are roles designed for individuals who have recently graduated with a degree in computer science or a related field and are interested in gaining experience in research. These positions typically involve assisting with research projects, conducting experiments, analyzing data, and writing reports under the guidance of senior researchers or professors. They are often found in academic institutions, research labs, or tech companies and can serve as a stepping stone toward more advanced research or graduate studies. Candidates are usually expected to have a foundational understanding of computer science principles and some experience with programming or data analysis.

What are typical daily tasks and research activities for an entry level computer science researcher?

In an entry level computer science research role, your daily tasks often include reviewing recent literature, coding and running experiments, collecting and analyzing data, and documenting results. You’ll likely collaborate with senior researchers, attend group meetings to discuss progress, and assist with preparing papers or presentations. The work environment is usually team-oriented, with ample opportunities to learn from mentors and contribute to ongoing projects. This hands-on experience helps you build both technical and analytical skills that are essential for advancing in research-focused careers.

What are the key skills and qualifications needed to thrive as an entry level computer science researcher?

To excel as an Entry Level Computer Science Researcher, you need a solid background in computer science fundamentals, programming, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python, Java, or C++), research tools (like MATLAB or R), and version control systems (like Git) is often required. Strong problem-solving abilities, critical thinking, and effective written and verbal communication make candidates stand out. These skills enable researchers to contribute to innovative projects, collaborate with peers, and clearly present findings in a rapidly evolving field.

What is the difference between Entry Level Computer Science Research vs Entry Level Software Developer?

AspectEntry Level Computer Science ResearchEntry Level Software Developer
Required CredentialsBachelor's degree in CS or related field; research experience beneficialBachelor's degree in CS or related field; coding skills essential
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, software firms
Employer & Industry UsageUniversities, research institutes, tech companiesSoftware development firms, tech industry
Common Search & Comparison IntentUnderstanding research-focused roles in CSEntry-level coding and development roles

Entry Level Computer Science Research roles focus on exploring new algorithms, theories, and innovations within academic or research settings, often requiring research experience. In contrast, Entry Level Software Developer positions emphasize coding, building applications, and deploying software in industry environments. Both roles require a bachelor's degree in CS, but their work environments and daily tasks differ significantly.

What are the most commonly searched types of Computer Science Research jobs in Washington, DC?

The most popular types of Computer Science Research jobs in Washington, DC are:

What job categories do people searching Entry Level Computer Science Research jobs in Washington, DC look for?

The top searched job categories for Entry Level Computer Science Research jobs in Washington, DC are:

Infographic showing various Entry Level Computer Science Research job openings in Washington, DC as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution.

Computational Social Scientist

Protagonist

Washington, DC

$70K - $102K/yr

Full-time

Re-posted 3 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-faceted role. You'll support our internal data efforts, stay hands-on with analysis and client delivery, and work with the product team to help improve Narrative Analytics, the platform our analysts use every day. Whether your background is in social science research, product and analytics, or a more technical track, what matters most is that you can take messy, real-world data and make it useful for our team and our end customers.

Responsibilities
  • Contribute to our data efforts
    • Support internal data science work: apply sound methods, keep quality high, and keep analysis reproducible and defensible.
    • Build and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Help 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 both the internal team and customers with clarity and confidence.
  • Support the product and work across teams
    • 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.
Requirements
  • Must be eligible to work on US Government contracts
  • A BS 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.
  • 2+ years of relevant experience with a bachelor's or BS degree with relevant internship experience and a proven track record of leveraging analytics to drive significant business impact, or a 1+ years of relevant experience with a master's degree with strong, practical data analytics project experience or relevant internships.
  • 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: $70,000-$102,000 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.