Research Intern - Computational Biology/Bioinformatics
By Deep Genomics At Toronto, Ontario, Canada
Experience with the development of algorithms/analysis pipelines for RNA sequencing datasets
Experience with benchmarking and evaluating machine learning models
Strong knowledge of probability and statistics
Experience with distributed/cloud computing pipelines
Great communication skills, highly organized and are willing to adapt to new situations quickly
Estable benchmark datasets and workflows to evaluate model performance on the effects of oligonucleotide drugs and genetic variants
Research Scientist (Computational Biology)
By Deep Genomics At Toronto, Ontario, Canada
A PhD in a quantitative discipline (e.g. Computational Biology, Computer Science, Applied Mathematics, Statistics, Biostatistics or Physics), or equivalent experience.
Working knowledge in machine learning modelling (e.g. neural networks, Bayesian methods, random forests, clustering).Proficient in Python or R
Post-graduate experience (postdoc or industry)
Experience with RNA biology or antisense oligonucleotides
A wide array of company-paid benefits
Aid the design of wet-lab experiments to investigate novel and existing RNA regulatory mechanisms