1 to 25 of 65 Genomics Jobs in the UK

tools and services is highly desirable. Significant participation in peer-reviewed research (both publication and review), particularly in at least one of the areas: genomics, computational biology, target ID, biology-focused AI/ML. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience More ❯

programming 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 More ❯

Prism, Python or R. An ability to wrangle structured and unstructured data for use in downstream data analyses. Experience with multiple data modalities, e.g. genomics data and/or chemical structure data, and insights on how to integrate them with other data formats and perform interpretations. A robust understanding of More ❯

drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research in areas such as genomics, precision medicine, and biomarker discovery. Role Overview We are seeking a highly motivated AI/Machine Learning Scientist to develop and apply state-of-the More ❯

powered 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 More ❯

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 validation More ❯

pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology. Partner with ZS leaders and client service teams to support selling and delivering More ❯

of 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 More ❯

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 of delivering biological insights in a drug discovery or translational research setting, with experience identifying biomarkers or More ❯

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 of delivering biological insights in a drug discovery or translational research setting, with experience identifying biomarkers or More ❯

transition of knowledge and capability into strategic teams. In the pharmaceutical sector, we are internationally recognised for our expertise in early-phase drug discovery, genomics, and human genetics. In late 2023, we proudly launched our new division, bioXcelerate AI, which stands at the forefront of revolutionising life sciences and healthcare More ❯

Collaborate closely with wet lab scientists, product teams, and leadership Build and mentor a high-performing computational team Requirements: PhD in Computational Biology, Bioinformatics, Genomics, or a related field 8–10+ years post-PhD experience, ideally within bio/health tech environments Deep expertise in DNA methylation and multi-omics More ❯

Collaborate closely with wet lab scientists, product teams, and leadership Build and mentor a high-performing computational team Requirements: PhD in Computational Biology, Bioinformatics, Genomics, or a related field 8–10+ years post-PhD experience, ideally within bio/health tech environments Deep expertise in DNA methylation and multi-omics More ❯

Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with More ❯

the-art client reporting on of high throughput data generated from various NGS and array data from various domains ( specifically epigenomics, but also including genomics, proteomics, etc.); Present experimental plans and results to internal and external stakeholders; Work as part of a multidisciplinary team; Be involved in hiring and team More ❯

the-art client reporting on of high throughput data generated from various NGS and array data from various domains ( specifically epigenomics, but also including genomics, proteomics, etc.); Present experimental plans and results to internal and external stakeholders; Work as part of a multidisciplinary team; Be involved in hiring and team More ❯

with the leaders of Onyx's customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions More ❯

resources for analysis Experience with cloud-based analysis environments for research or data analysis workloads. Experience in handling healthcare datasets, (e.g., electronic patient records, Genomics, PACS images, etc.) Experience of working in technology-reliant organization through the process of change, maturity and innovation uplift Experience in API design and usage More ❯

state-of-the-art core facilities and expertise, including multimodality in vivo imaging, clinical research facilities, experimental medicine hub, high-throughput robotic screening, comprehensive genomics/proteomics/metabolomics/single cell analyses, integrative invasive and non-invasive human physiology, and comprehensive murine physiology and genetic modification. There is an More ❯

candidates who share their CV and cover letter via email will be considered. WHY OUTSMART INSIGHT? Advances in all the sciences – from robotics and genomics to climate tech and space exploration – are leaving no aspect of our lives untouched. Global challenges in the 21st Century need science, technology and the More ❯

candidates who share their CV and cover letter via email will be considered. WHY OUTSMART INSIGHT? Advances in all the sciences – from robotics and genomics to climate tech and space exploration – are leaving no aspect of our lives untouched. Global challenges in the 21st Century need science, technology and the More ❯

machine 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 … Collaborate 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. … 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, and visualization More ❯

machine 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 … Collaborate 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. … 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, and visualization More ❯

within budget in a delivery-focused setting. Thought Leadership and Communication Strong academic profile with peer-reviewed publications and a developing network within the genomics community. Skilled at presenting complex ideas at international scientific conferences and contributing to global discourse in genomics. We offer the following benefits: Enhanced holiday pay More ❯

integration. With full autonomy to shape the team and tech roadmap, the successful candidate will position EIT Oxford at the forefront of infectious disease genomics, playing a central role in realising the ambition to create the world's largest pathogen data and analytics platform. Key Responsibilities: Strategic Leadership Define and More ❯