Attention students: We likely will not take any new students until Spring of 2026.
Position Information
If you:
- are looking for a part-time job to utilize your B.S. in Computer Science,
- have experience with Shiny App in R, Python, and HTML,
- love numbers and strawberries
- and you have a deep understanding and complex databases and visualizing them,
then look no further!
We are searching for a Temporary GUI Strawberry Genomic Database Assistant to implement a GUI to an existing 700 GB cutting edge strawberry genomic database. This will be in collaboration with University of Maryland and the Shenzhen Technology Institute. The successful individual will be responsible for (a) implementation of a GUI on a local computer station; and (b) facilitating the implementation of a web-based GUI in collaboration with the NCSU data center.
The successful candidate needs to be able to work with the Shiny App in R, Python, HTML and must have advanced understanding of complex data bases and data base visualization.
This is a collaborative position that requires communication between different Universities, as well with centers at NCSU, as a part of the SCRI: PIP-CAP.
Position Details
Anticipated pay: $25/ hour
Job posting date: 03/04/2025
Job posting date: 03/04/2025
Supplemental Questions
Required fields are indicated with an asterisk (*).
1. How did you learn of this opportunity?
NCSU Website
Job Alert (automated email from our system)
NCSU Executive Search Services
Monster.com
CareerBuilder.com
InsideHigherEd.com
HigherEdJobs.com
Other Online Job Board
Carolina Job Finder / Employment Guide
Job / Career Fair
The Chronicle of Higher Education
Professional Journal
Print Advertisement (Newspaper / Periodical)
Radio / Television Advertisement
Professional Organization
Higher Education Recruitment Consortium (HERC)
Direct Contact from NCSU HR Representative / Recruiter
NCSU Employee Referral
Social Media (LinkedIn, Twitter, Facebook, Other)
Other
If you learned about this vacancy from "other source" or "other website", please provide the source.
2. * Do you possess a B.S. in Computer Science?
Yes
No
3. * Do you have experience working with Shiny App in R, Python and HTML?
Yes
No
4. * Do you possess an advanced understanding of complex data bases and data base visualization?
Yes
No
