Graduate Assistant - Burgess Seed Grant
Listed on 2026-07-18
-
Research/Development
Data Scientist
Position Description
A graduate student in an institution within the Texas Tech University System employed in support of a department or unit responsible for work assigned by the supervisor within the unit or department which utilizes knowledge beyond undergraduate academic studies.
Major/Essential Functions- Assist with data management, data validation, data preprocessing, data coding, and data analysis for a secondary data analysis research study (TTUHSC SHP Seed Grant funded).
- Use machine learning to create a predictive model for identification of at-risk students using student performance assessment data.
- Communicate consistently with the lead researchers.
Enrolled in the graduate program of an institution within the Texas Tech University System.
Preferred Qualifications- Proficiency with Excel and Excel formulas specifically in working with data.
- Research experience (data preprocessing, data validation and analysis, machine learning).
- Experience with R or Python.
- Experience with basic data cleaning, organizing, validating, and analysis techniques.
- Job Type: Part Time
- Pay Basis:
Hourly - Pay Grade Minimum: 10.00
- Pay Grade Maximum: 15.00
- Compensation is commensurate with qualifications and the department’s budget. For additional information, see the institutional pay plan at https://app
4.ttuhsc.edu/payplan. - Grant Funded:
Yes - Travel Required:
None - Shift: Day
- Works in a research laboratory:
Yes - Select agents used:
No
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.
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