Part-Time Research Assistant

American University•Washington, DC

2d•$20

About The Position

The Part-Time Research Assistant will support multiple high-impact projects in sustainability, organizational change, and entrepreneurship, including a large-scale systematic literature review analyzing over 2,000 documents on emergent and unintentional organizational change, empirical research on B Corporations and sustainability certifications, and work on mission drift in social enterprises. These projects target top-tier journals and hence need research assistance skills that are rigorous. This role requires a candidate who combines strong technical skills in data analysis and AI-assisted research tools with an ability to support scholarly writing and knowledge synthesis. The successful candidate will work at the intersection of technology and business research, contributing to projects that directly advance Kogod’s strategic priorities in sustainability and AI-integrated scholarship.

Requirements

Bachelor's degree or equivalent.
Less than 1 year of relevant experience.
Bachelor’s degree in Business, Marketing, Information Systems, or a related field.
Proficiency in AI tools or large language model (LLM) applications.
Familiarity with business analytics, data analysis, or quantitative research methods.
Strong written and verbal communication skills.
Demonstrated ability to work independently, manage multiple tasks, and meet deadlines with minimal supervision.
Detail-oriented with a commitment to accuracy and research integrity.

Nice To Haves

Master's degree or equivalent.
1 - 3 years of relevant experience.
Master’s degree in Business, Data Science, or a related field.
Prior experience supporting academic research or working in a university research environment.
Experience with tools such as Claude Code, NVivo, R, or similar platforms.
Adaptable and intellectually curious, with a strong work ethic and collegial approach.

Responsibilities

Computational Social Science Research Support Assist with processing and analyzing large document corpora using Python, LLMs, and AI-assisted tools such as Claude Code.
Support the development and execution of data pipelines for qualitative and quantitative research projects.
Help design and run computational analyses in support of systematic literature reviews and empirical studies.
Contribute to data cleaning, coding, and validation across multiple active research projects.
Research and Writing Support Assist with literature searches, bibliography management, and synthesis of academic sources.
Support the preparation of manuscripts, conference papers, and grant materials.
Help format and edit research documents in accordance with journal and conference guidelines.
Contribute to the development of research summaries, presentations, and practitioner-facing materials.