products for health applications In depth knowledge in machine learning best practices, scalable training and deployment Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to More ❯
products for health applications In depth knowledge in machine learning best practices, scalable training and deployment Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to More ❯
delivering robust software solutions In depth knowledge in machine learning best practices, scalable training and deployment Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics) ML-powered products for health applications Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma More ❯
exclusive features. Artificial Intelligence, Computational Sciences & Engineering Staffing (US, UK & EU) at Skills Alliance Develop novel cell embeddings that integrate multi-omics foundation models—transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities More ❯
Develop novel cell embeddings that integrate multi-omics foundation models— transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell More ❯
Develop novel cell embeddings that integrate multi-omics foundation models— transcriptomics, proteomics, epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell More ❯
generation of machine learning models, as well as innovations related to our emerging scaled proteomics and automated chemistry platforms, along with our high throughput transcriptomics and cellular imaging pipelines. Leveraging advances in active learning and scientific AI agents, you'll also look for novel product opportunities that transform the drug More ❯
generation of machine learning models, as well as innovations related to our emerging scaled proteomics and automated chemistry platforms, along with our high throughput transcriptomics and cellular imaging pipelines. Leveraging advances in active learning and scientific AI agents, you’ll also look for novel product opportunities that transform the drug More ❯
rooms, and shared workspaces A state-of-the-art MRI suite with five scanners A 220-seat lecture theatre Advanced core labs for microscopy, transcriptomics, and tissue processing Key Responsibilities Lead BIM and digital delivery across all project stages Develop BIM Execution Plans and client handover strategies Maintain alignment with More ❯
classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics/Spatial omics (e.g., spatial transcriptomics or multiplex imaging)/Multi-modal data integration (e.g., combining genomics with clinical or imaging data) A track record More ❯
classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics/Spatial omics (e.g., spatial transcriptomics or multiplex imaging)/Multi-modal data integration (e.g., combining genomics with clinical or imaging data) A track record More ❯
Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London While gene-editing is becoming increasingly efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and More ❯
