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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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computer science, bioinformatics, biomedical engineering, electrical engineering or similar, obtained within the last 5 years by the time of the appointment start date. Outstanding publication record in top journals
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one of Canada’s leading cancer research institutes. Access to state-of-the-art single-cell, sequencing, and bioinformatics infrastructure. Extensive opportunities for career development, networking, and
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bioinformatics support, and training and networking supports through our leading role in the Canadian Islet Research and Training Network (www.islets.ca ). Duties Specific duties will depend on the project focus
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networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
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myocarditis and vaccine-induced immune thrombotic thrombocytopenia. The successful candidate would be expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics
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foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a
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with high-performance computing clusters. Experience in using different libraries such as RDKIT, DeepChem, Scikit, and Numpy. Experience working in bioinformatics techniques including phylogenetics
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Strong organizational and time management skills Additional optional desired skills: Experience with translational cancer research and clinical trials Proficiency in bioinformatics and statistical analysis