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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
well as bioinformatic and statistical analysis is considered an asset. Demonstrated research excellence with first-author publications in peer-reviewed international journals. Strong communication skills, fluent in
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qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
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Immunology, Molecular Biology, Chemistry, Computational Biology or related fields. Expertise in immunological assays and flow cytometry. Advanced skills in data analysis using bioinformatics tools and
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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Strong theoretical background and practical experience in neurosciences, with a keen interest for neurometabolism Solid bioinformatic and biostatistics skills will be required Excellent organizational and
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on or as soon possible, with possibilities to extend for another two years. Job description You should be experienced in biochemistry, tissue proteomics, and protein bioinformatics. You will spearhead
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the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine
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are desirable. Candidates with additional expertise in 3D cell culture, xenografting, and/or single-cell sequencing would be highly competitive. Bioinformatic experience would be welcomed, though no prior
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;Knowledge of bioinformatics tools relevant to gene editing and transcriptomics (e.g., Benchling, SnapGene, Geneious, R, Python);Proven track record in publication and in scientific outreach. Personal Skills
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics