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Skills
Algorithmsunmatched
Biomedicineunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Data Modelingunmatched
Data Scienceunmatched
Data Setsunmatched
Data Structuresunmatched
Genomicsunmatched
Higher Educationunmatched
Machine Learningunmatched
Modeling Languagesunmatched
Physiologyunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Secondary Schoolunmatched
Statisticsunmatched
Training Data Setsunmatched
Description
Job Description
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Job Title: Intern/Aide - Part-time
Division: Integrative Physiology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $16/hour - $20/hour
FLSA Status: Nonexempt
Work Schedule: Flexible
Summary
The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week.
Job Duties
Learns to formulate machine learning problems.
Learns to implement machine learning algorithms using Python/R.
Learns to fit machine learning models on biological data.
Identifies the specific datasets and machine learning algorithms.
Implements 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, trade/vocational school or higher education institution.
Preferred Qualifications
Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences.
Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.