Posted 4 days ago
Part-Time Data Extraction Programming
AI Summary
Part-time Data Extraction Programming role at Penn State's Population Research Institute. Develop Python or Java code to extract data from digitized, OCR-recognized printed population registry books and store results in CSV files.
About this role
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified individual with interest in advancing skills in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text recognized. Data will be stored in a CSV file; the project already has defined possible data fields.
Job duties to include:
- 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. While source materials generally present information systematically, the code must account for routine deviations and errors in the source materials.
Requirements, qualifications, and/or competencies:
- 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. CoryAnderson.
- Position open immediately, and applications will be received until the position is filled. Please submit a list of programming-related experience, list of relevant coursework and final grades, and one reference who can speak to your programming experience and potential (e.g. advisor, instructor, or current/former employer).
Compensation:
The starting rate for this job is $17/hr.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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