Summary
The Intern/Aide will assist in cancer genomics research by supporting data processing, analysis, and visualization of multi-omics datasets. Collaborates with research teams to perform statistical analyses and apply machine learning techniques to investigate complex biological questions related to cancer.
Responsibilities include generating high-quality figures and tables using R (ggplot2) to effectively communicate findings, as well as contributing to integrative analyses of genomic data. The role provides hands-on training in cancer genomics, statistical modeling, and computational biology.
Through this position, interns gain practical experience in:
- Processing and analyzing cancer genomics and other omics datasets
- Conducting integrative data analysis using R
- Applying statistical modeling and machine learning approaches
- Visualizing and presenting research results for scientific interpretation
This opportunity is ideal for individuals interested in bioinformatics, data science, and translational cancer research.
Job Purpose
Provides temporary administrative or laboratory support to a department while gaining practical work experience.
Job Duties
- Performs entry level administrative or laboratory duties.
- May observe tasks related to field of study or career interest.
- May assists with special projects/programs.
Minimum Qualifications
Education: Must be enrolled in high school, trade/vocational school or higher education institution.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.