University of Toronto Mississauga Digital Health Technologies Internship

This project will focus on the evolution of data models through the improvement of internal tooling to allow data self-service along with the operationalization of production-grade data pipelines in the field of bioinformatics, due to the immense amount of growth in the volume of data being produced from genome sequencing. With public data repositories that contain molecular, biochemical, metabolic, disease, and taxonomic data now becoming incredibly granular, researchers can increasingly make important decisions on how to better understand diseases. The field of bioinformatics as a whole is critical to solving diseases, and this field is advancing quickly with BenchSci on the forefront of this advancement.

Faculty Supervisor:

Jayson Parker

Student:

Partner:

BenchSci

Discipline:

Engineering

Sector:

Biotechnology; Artificial Intelligence; Health and Related Sciences & Technology

University:

University of Toronto

Program: