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. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience
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, genomics and bioinformatics to convert basic science insights into biotechnology innovations. The candidate is expected to contribute know-how in materials science, biofabrication, design and manufacturing
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cell therapy or related immuno-oncology setting Experience with in vivo tumor models Familiarity with bioinformatics tools for data analysis Knowledge of Good Laboratory Practices (GLP) What We Offer A
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laboratory equipment Perform statistical data analysis Conduct bioinformatics analyses Maintain mouse colony, breeding, and genotyping Qualifications: Minimum MSc in Biological sciences or related fields
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expected to have a strong 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
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of research in MS and other neurological diseases in a basic science laboratory with a focus on neuroimmunology, neuroscience, immunology, molecular biology, bioinformatics and biostatistics Reports to the SK
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samples, iv) conducting bioinformatic analyses on RNA-Seq datasets, v) analyzing metabolites with mass spectrometers (LC-QTOF, SPME-GC-MS), and vi) disseminating results and knowledge generated
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bioengineering, immunology, molecular biology and bioinformatics. The Kizhakkedathu lab (https://cbr.ubc.ca/our-people/investigators/jayachandran-kizhakkedathu/ ) develops novel polymers and biomaterials as
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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