Part-Time Research Assistant: Data Pipelines & AI Tools

The Pennsylvania State University; State College (Centre County); Presencial; USD 18.000 - 26.000; A tiempo parcial

Descripción de la vacante

The Pennsylvania State University invites applications for a part-time research assistant in the Department of Supply Chain and Information Systems. Work up to 15 hours weekly assisting a Smeal faculty team to build an automated publication pipeline, search tools, and scalable data synthesis features.

Required: enrolled student, strong Python skills, API experience, and familiarity with LLM APIs and embeddings. Compensation starts at $16.00 per hour with background checks.

Formación

• Currently enrolled Penn State student.
• Strong Python skills, including writing maintainable scripts and working with APIs.
• Experience collecting and cleaning data programmatically (e.g., scraping, publisher/scholarly APIs such as Crossref, Semantic Scholar, or SSRN; handling PDFs and metadata).
• Familiarity with large language model (LLM) APIs (OpenAI, Anthropic, or similar) and prompt design.
• Basic understanding of embeddings, vector search, and retrieval-augmented generation (RAG).
• Comfort with Git and basic software testing practices.
• Ability to work independently and document code and processes clearly.

Responsabilidades

• Build and maintain an automated pipeline that collects Smeal faculty publications and working papers.
• Develop and test search and discovery tools over the repository.
• Support development of synthesis and translation features for faculty, research centers, marketing, and development.
• Test the system with a small pilot collection, then scale to the full collection.

Conocimientos

Python

APIs

LLM APIs

Documentation

Git

Testing

Independent work

Herramientas

Git

Streamlit

Flask

Crossref API

Semantic Scholar API

SSRN API

OpenAI API

Anthropic API

Descripción del empleo

The Pennsylvania State University invites applications for a part-time research assistant in the Department of Supply Chain and Information Systems. Work up to 15 hours weekly assisting a Smeal faculty team to build an automated publication pipeline, search tools, and scalable data synthesis features.

Required: enrolled student, strong Python skills, API experience, and familiarity with LLM APIs and embeddings. Compensation starts at $16.00 per hour with background checks.