Intern/Aide – Computational Cancer Research

Job Description

Intern/Aide | Baylor College of Medicine

The Tone:
Baylor College of Medicine offers hands-on experience in computational and data-driven cancer research. This role provides temporary support to a department, contributing to vital work in bioinformatics and biostatistics. It helps interns gain practical exposure to real-world applications in cancer research.

The TL;DR
• Role: Intern/Aide
• Mission: Provide temporary administrative or laboratory support while gaining practical experience in data-driven cancer research.
• Tech Stack: R, ggplot2

What You’ll Actually Do
• Learn: Develop foundational knowledge in cancer genomics and other omics data.
• Analyze: Conduct integrative cancer data analysis using R programming language.
• Model: Apply statistical techniques and build machine learning models for biological datasets.
• Visualize: Create clear data visualizations with ggplot2 to communicate findings effectively.

The Must-Haves
• Background: Enrollment in high school, trade/vocational school, or a higher education institution is required.
• Experience: Perform entry-level administrative or laboratory duties, potentially assisting with special projects.
• Skills: Basic knowledge of biology, cancer genomics, statistics, and programming in R.