Intern/Aide - Machine Learning (Part-time)

JobsCloseBy Editorial Insights

Baylor College of Medicine seeks a part-time Intern/Aide in Machine Learning to train and implement ML algorithms on our genomic data projects, working 10 hours per week onsite in Houston; this role offers hands-on exposure to advanced ML and cluster workflows and is not benefits-eligible. To apply, foreground coursework or projects in Python or R, ML model development, and experience handling large datasets on a cluster, plus any genomics or healthcare data exposure. Emphasize your status as a student or recent graduate and your legal eligibility to work in the United States (visa sponsorship not available). Include a concise note showing curiosity, reliability, and readiness to learn.

Summary

The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position will offer great exposure to genomic data and advanced machine learning. This position is part‑time at 10 hours per week and is not benefits‑eligible.

Job Purpose

Provides temporary administrative or laboratory support to a department while gaining practical work experience.  

Job Duties

• Identifies the specific datasets and machine learning algorithms, the intern will implement the algorithms in Python/R and fit them on the datasets in our cluster computers.
• Performs other job-related duties as assigned.

Minimum Qualifications

Must be enrolled in high school or be a high school graduate (or equivalent secondary education) or enrolled in an institution of higher education. 

Work Authorization Requirement:

This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment. 

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.