9 of 9 Remote/Hybrid Proteomics Jobs in England

experience with Python and PyTorch, or equivalent languages and machine learning frameworks; Have experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks, or related biological datasets; Nice to have: Advanced degree in a quantitative or computational field, knowledge of systems biology, disease biology, molecular ...

work in the United Kingdom; willing to work on-site or hybrid as required by the team. Preferred Qualification Familiarity with single-cell sequencing, proteomics or advanced bioimaging data. Track record of publications or conference presentations in relevant scientific areas. Experience building automated pipelines and applying machine learning in biology. ...

hybrid as required by the team. Preferred Qualification If you have the following characteristics, it would be a plus: - Familiarity with single-cell sequencing, proteomics or advanced bioimaging data. - Track record of publications or conference presentations in relevant scientific areas. - Experience building automated pipelines and applying machine learning in biology. ...

solutions that drive scientific discovery and innovation in [specific industry]. Key Responsibilities: • Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets. • Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability. • Collaborate with research teams ...

solutions that drive scientific discovery and innovation in [specific industry]. Key Responsibilities: • Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets. • Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability. • Collaborate with research teams ...

solutions that drive scientific discovery and innovation in [specific industry]. Key Responsibilities: • Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets. • Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability. • Collaborate with research teams ...

solutions that drive scientific discovery and innovation in [specific industry]. Key Responsibilities: • Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets. • Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability. • Collaborate with research teams ...

discussion on your career. Keywords: senior, principal, bioinformatics, bioinformatician, drug, discovery, pharmaceutical, biotech, clinical, principal, omics, RNAseq, single-cell, computational, analysis, pipeline, genetic, genomics, proteomics, epigenetic, spatial, data, integration, pathways, enrichment, causal, mechanisms, disease, biology, statistics, visualisation, programming, R, immunology, neuro, CNS, oncology, cancer, inflammation, respiratory ...

discussion on your career. Keywords: senior, principal, bioinformatics, bioinformatician, drug, discovery, pharmaceutical, biotech, clinical, principal, omics, RNAseq, single-cell, computational, analysis, pipeline, genetic, genomics, proteomics, epigenetic, spatial, data, integration, pathways, enrichment, causal, mechanisms, disease, biology, statistics, visualisation, programming, R, immunology, neuro, CNS, oncology, cancer, inflammation, respiratory ...