Seeking undergraduate students in biology, statistics, or computer science with strong data science skills to support healthcare research projects.
Key tasks include analyzing large biological and clinical datasets, applying statistical and machine learning methods, developing models (including deep learning and LLMs), and writing code in R and Python for data processing and visualization.
Responsibilities involve validating models, creating reproducible workflows, collaborating with researchers to address biological and clinical questions, and contributing to research outputs.
Qualifications include current enrollment in relevant bachelor’s programs, proficiency in R/Python, solid understanding of statistics, and familiarity with large datasets and machine learning concepts. Preferred skills include experience with biological data types, visualization tools, and reproducible research practices.
This internship offers exposure to advanced data and AI projects in healthcare, with competitive pay and professional development opportunities. Candidates must be authorized to work in the U.S. and are not eligible for visa sponsorship. The role emphasizes innovation, collaboration, and impactful research in digital health transformation.