Seeking undergraduate students in biology, statistics, or computer science with strong data science skills to analyze biological and clinical datasets.
Responsibilities include applying statistical modeling, machine learning (including deep learning), and developing reproducible workflows in R/Python.
Participants will collaborate with researchers to translate clinical questions into data-driven solutions, support prototype development, and contribute to research outputs.
Qualifications include enrollment in relevant fields, proficiency in R/Python, familiarity with large datasets, and understanding of statistical and ML concepts.
Preferred skills encompass experience with biological data types, visualization tools, and reproducible research practices.
Opportunity offers access to large datasets, advanced computing resources, and professional mentorship in a dynamic healthcare research environment.