15 of 15 Permanent Transcriptomics Jobs in London

to Day: Lead the development and deployment of next-generation AI/ML models using cellular imaging and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data More ❯

to Day: Lead the development and deployment of next-generation AI/ML models using cellular imaging and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data 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 ❯

application. Among others, you will: Spearhead the development and deployment of next-generation AI/ML models, on cellular imaging alongside other modalities (molecular, transcriptomics, biomedical literature) to enhance target and biomarker discovery. Set the strategy for incorporating generative AI into early-stage drug discovery, working closely with cross-functional More ❯

learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to support the identification of cancer targets and the development of novel therapeutics. You will be part of the … with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design … science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling, and visualization. Hands-on experience with data integration, mining More ❯

learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to support the identification of cancer targets and the development of novel therapeutics. You will be part of the … with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design … science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling, and visualization. Hands-on experience with data integration, mining More ❯

vivo work in lead optimization. You will integrate molecular and clinical data from public and partnered datasets with layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose programs in novel areas of immunology and inflammation. You will partner … indication selection or expansion in immunology and inflammation Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning Present data analysis to decision makers and stakeholders in a clear and compelling way that drives … from proof of concept and into clinical development Deep expertise in the analysis and data integration of two or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics), including experience working with patient data Exceptional data visualization skills Excellent cross-functional communication skills, including an ability to explain complex scientific concepts More ❯

early and deploy often Preferred qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP More ❯

scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. 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 ❯

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 ❯

Data Scientist - The Institute of Cancer Research Sponsorship Available London, UK The Institute of Cancer Research (ICR), one of the world's leading cancer research organisations, is currently recruiting for a Data Scientist to join its innovative team in London. More ❯

Salary Range: £39,805 to £49,023 per annum Salary : Salary range £39,805 to £49,023 (depending on experience) Reporting to: Professor Trevor Graham Duration of Contract: Fixed Term for 2 years Hours per week: 35 hours (Full Time More ❯