Intern/Aide - Part-time
Baylor College of Medicine
Houston, TX
Job posting number: #7368567 (Ref:25937-en_US)
Posted: August 17, 2026
Job Description
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.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
