The Bioinformatics Track is embedded within the Biomedical Sciences Research Program and offers a comprehensive curriculum that combines research training with advanced coursework in biostatistics, computer programming, and scientific communication. This program is designed to equip students with the skills and knowledge to analyze complex biological data and address computational biology and genomics challenges.
Students will engage in hands-on research projects, collaborating with faculty to apply bioinformatics tools and methodologies to real-world problems. The curriculum emphasizes:
- Biostatistics: Advanced statistical techniques for data analysis, including machine learning, data visualization, and predictive modeling.
- Computer Programming: Proficiency in programming languages such as Python, R, and specialized bioinformatics software for data processing and algorithm development.
- Scientific Communication: Training in writing research papers, presenting findings, and effectively communicating complex scientific concepts to diverse audiences.
This track is ideal for individuals seeking careers in academia, biotechnology, healthcare, or data science. By the end of the program, graduates will be well-prepared to contribute to research in the rapidly evolving field of bioinformatics.
Track Eligibility
Students must apply to the Bioinformatics Track through Workday. Applications are due the Friday before Thanksgiving in the first semester of the program.
To be and remain eligible in the track, students must be in good academic standing. A student may be withdrawn from the track in the event of any course failure, placement on academic probation, or does not maintain the standards of professional conduct. Students who take a leave of absence from the COB may resume track activities upon return at the discretion of the BIOS program director.
Track Aims:
- Students will demonstrate a foundation of knowledge in biology and biomedicine
- Students will demonstrate critical thinking skills
- Students will demonstrate the ability to communicate clearly and effectively
- Students will demonstrate the technical skills necessary for a career in bioinformatics or computational biology