Mississauga, ON | Hybrid (3 days onsite/week)What You'll DoDevelop and optimize AI/ML algorithms for biological and multi-omics dataAnalyze and interpret NGS datasets, including alignment, variant calling, and annotationBuild predictive models for diagnostics, biomarker discovery, disease detection, and treatment responseDevelop bioinformatics tools, pipelines, and computational workflowsIntegrate diverse biological data sources and collaborate with multidisciplinary scientific teamsWhat You'll BringPhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, AI/ML, Statistics, or a related fieldStrong expertise in AI, machine learning, and statistical methods applied to biological dataStrong programming skills in Python and/or R,



with experience in TensorFlow, PyTorch, orDeep understanding of molecular biology, genetics, and bioinformaticsExperience with NGS alignment tools such as Bowtie2, BWA-MEM, Minimap2, STAR, andHISAT2Experience with taxonomic profiling tools such as Kraken2C++ or Rust experience for algorithm optimization is an assetStrong publication record or demonstrated industry contributions in AI and computational biologyThis is an exciting chance to work at the intersection of AI, genomics, bioinformatics, and precision diagnostics.

📌 Bioinformatic Scientist (Mississauga)
🏢 Billennium
📍 Mississauga