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Part-Time Data Extraction Programming jobs in United States
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Penn State University · 2 days ago

Part-Time Data Extraction Programming

The Pennsylvania State University is seeking applicants for a part-time Data Extraction Programming position within the Population Research Institute. The role involves developing Python or Java code to extract data from digitized population registry books, with a focus on creative problem-solving and attention to detail.
Higher Education

Responsibilities

Desirable skills include coding experience in Python and/or Java (required), creative problem solving, ability to scrutinize own work and catch errors, experience annotating code, and ability to communicate work progress to supervisor with limited programming experience
Candidate will work independently with access to an experienced programmer for consultation when needed
Self-directed learning and resourcefulness are essential
Generative AI may be used strategically in consultation with supervisor but should not substitute for coding skills
Some familiarity with Amish and Mennonites is a plus but not required
Work is primarily remote and flexible
Candidate must be committed to working in a distraction-free environment
Occasional exceptions to remote work include: (1) candidate may be required periodically to digitize printed population registries using equipment at University Park campus, and (2) candidate will occasionally meet in-person with supervisor, even as Zoom, telephone, and email will be the primary modes of communication
Hours must be completed by August 17, 2026
While weekly hours are flexible, the candidate must work no fewer than four hours any given week
The position will be housed in Penn State’s Population Research Institute and supervised by postdoctoral scholar Dr. Cory Anderson

Qualification

PythonJavaData extractionCreative problem solvingSelf-directed learningCommunication skills

Required

Coding experience in Python and/or Java (required)
Creative problem solving
Ability to scrutinize own work and catch errors
Experience annotating code
Ability to communicate work progress to supervisor with limited programming experience
Self-directed learning and resourcefulness are essential
Commitment to working in a distraction-free environment
Ability to work independently with access to an experienced programmer for consultation when needed
Ability to meet in-person with supervisor occasionally

Preferred

Some familiarity with Amish and Mennonites is a plus but not required

Company

Penn State University

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Funding

Current Stage
Late Stage

Leadership Team

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Hamza Jamjoom
Co-Founder - Arts & Architecture Student Council
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Kara Pytko
Co-founder of Virtual Scientist Webinar Series
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