19 of 19 Transcriptomics Jobs in England

in life science industry. Preferred Qualifications: Strong understanding of omics technology and data processing pipelines, including bulk and single cell RNA-seq, WES, proteomics, transcriptomics, metabolomics, GWAS, mass spec, spatial omics technology. Experience with orchestration tools (nextflow, snakemake), data engineering tools (Kubernetes, Airflow, Spark, Kafka, etc.), data visualization tools (Tableau More ❯

languages like Python, R, or Perl for data analysis. Experience with bioinformatics tools and databases (e.g., BLAST, Bioconductor, Ensembl). Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization More ❯

their impact both scientifically and strategically. Key Responsibilities: Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction Support internal and external teams with in-house tools such as More ❯

their impact both scientifically and strategically. Key Responsibilities: Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction Support internal and external teams with in-house tools such as 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

of the post - 5% Person Profile Education & Qualifications Requirement: PhD in bioinformatics, computational biology or related subject with experience of working on genomics and transcriptomics data and bioinformatics - Essential Specialist Knowledge & Skills Requirement: Pertinent experience in Linux and in shell scripting - Essential Experience of transcriptomics, genomics analyses - Essential Excellent 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 ❯

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 ❯

Northreach is a dynamic recruitment agency that connects businesses with top talent in the cell & gene therapy, fintech, and digital sectors. Our mission is to provide a seamless and personalized recruitment experience for clients and candidates, and to create a More ❯

level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with … to rare disease datasets. Applying GenAI approaches to enhance data imputation, integration, and prediction capabilities. Integration of multi-omics datasets (single-cell and bulk transcriptomics, genomics, and clinical data). Collaborating with biocurators to curate and preprocess datasets for model training and validation. Ensuring robust model performance through testing and … on experience with multi-omics data integration and analysis. • Experience publishing in high-impact journals and presenting at international conferences. • Familiarity with single-cell transcriptomics, bulk omics data, and genomics. • Strong knowledge of FAIR principles and open data standards. • Experience with cloud computing platforms and high-performance computing environments. • Strong More ❯

Please enter your search criteria below and click on Find jobs. If you require an adjustment to the recruitment process, we are committed to ensuring everyone can access our application process, including our application form. For assistance with your application More ❯