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research questions into well-defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and
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analysis or machine learning methods to support genomic data analysis and interpretation. Benefits Our Benefits: Travel allowance Bonus Enhanced holiday pay Pension Life Assurance Income Protection Private
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are bioinformatics algorithm development, machine learning methods, and microbial genomics. Strong candidates will have significant experience in at least two of these three areas, and experience in all three is a
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, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning
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machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications
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Responsibilities: Perform high-quality GC-MS and LC-MS analyses, selecting and applying appropriate protocols for different sample types. Process and prepare biological samples for mass spectrometry. Acquire
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systems Basic microbiology laboratory experience Key Attributes Organised and reliable Strong attention to detail Willingness to learn and develop new laboratory skills Team-oriented with a collaborative
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standards OMOP , snowmed Key Attributes: Collaboration Ability to work in a fast-paced environment Willingness to learn and cross train / upskill in new technology Willingness to be hands on to explore new
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a strong commitment to generating reliable and reproducible data. Able to work within structured experimental plans while contributing ideas and observations. Eager to learn new techniques, build
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for engineering biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine