a team of data scientists and engineers working on models spanning the end-to-end R&D process and multiple data modalities, including imaging, omics, chemical structure, and medical record data. Success in the role will require hands-on experience developing and refining deep learning models in a relevant domain more »
and tissue explant analytics will be responsible for leading a team of talent computation biologists and data scientists with diverse expertise in proteomics, spatial- omics, and imaging, (epi)genomics (including single cell and pseudo-single cell analyses) and 3D cell culture responsible for characterizing both patients derived organoid and patient more »
cell receptor dynamics, RNA sequencing transcriptome, and clinical or experimental factors. Utilise machine learning methods, such as supervised and unsupervised learning, to merge multi-omics data and pinpoint predictive biomarkers related to immune response and disease prognosis. Cultivate robust collaborations with translational and clinical researchers to interpret data and uncover more »
transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development more »
University of Liverpool, Sherrington Building, Ashton Street, Liverpool, England
University of Liverpool
research into the biology of life across a magnitude of scales, from single molecules to whole organisms. Using cutting-edge and world-leading multi-omics technologies, our research answers impactful biological questions. A key focus of our research is on delivering novel therapeutics with reduced toxicity to patients via an more »
presence or absence of drugs). Setting up and performing multimodality experiments according to the Oncology Translational Research project in collaboration with the other OMICS scientists. Collecting and reporting data to the Director - Multiomics Patient Derived Explant/derivatives. Execute and deliver data of the project to a high quality more »
please do not apply if this is something that you require. We are looking for a Bioinformatician with a strong background within single-cell omics research to join a leading cancer research start-up company based in London. As the Bioinformatician you will be responsible for contributing to the team more »
biotechnology firm equipped with a groundbreaking proprietary computational platform tailored to revolutionise drug discovery. They leverage state-of-the-art network biology expertise, big ‘omics data, artificial intelligence and the latest advances in biomedicine to discover a new generation of life-transforming medicines. They’re looking for a Principal Software more »
will be available in Summer 2024, during the summer break f unded by BMSS summer studentship . The student will be integrated into the omics group, attending meetings, and will be expected to present their work at the end of the placement. Role Description This is a summer studentship working more »
team. The successful candidate will play a pivotal role in advancing their immunotherapy and infectious diseases programs by leading bioinformatics analyses, particularly focused on omics datasets and Next-Generation Sequencing (NGS) data. This position offers a unique opportunity to contribute to groundbreaking discoveries that could revolutionise the treatment of infectious … diseases. Responsibilities • Lead a team of bioinformaticians and collaborate with cross-functional teams, providing guidance and expertise in the analysis of omics datasets. • Design, develop, and execute bioinformatics pipelines for the analysis of omics data, with a focus on genomics, transcriptomics, and proteomics datasets. • Oversee the processing and analysis of … strong focus on immunotherapy and infectious diseases. • Proven experience leading bioinformatics teams (2-3 people) in an industry setting. • Expertise in the analysis of omics datasets, with a deep understanding of genomics, transcriptomics, and proteomics data. •Proficiency in programming languages such as Python, R, and expertise in bioinformatics tools and more »
Hartmann Young are partnered with a rapidly growing Multi Omics business that have developed a multi-modal SaaS to better drug development and diagnostic data driven decision-making. We are seeking a dynamic and experienced Head of Sales to lead our sales team and drive revenue growth for the platform. more »
Biology Team, and be the point of contact and a role model for advanced modelling within the company. Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/or omics data in close collaboration with wet-lab scientists. Work … a fast-paced environment (biotech/pharma industries would be a distinct advantage) Strong experience in developing and modifying statistical (and ML) models of ‘omics datasets for biological interpretation and actionable insights Strong experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience in leading projects involving more »
for the analysis of antibody repertoire sequencing and use advanced methods to predict antibody function. Implement advanced statistical approaches for the analysis of large omics data sets and cross-modality data integration (E.g. un/self-supervised machine learning methods, knowledge graphs) Develop workflows for processing and analysing both in … predictive antibody/protein modelling. Significant experience working with a broad range of statistical methods, including machine learning methods. Significant experience working with multi-omics and large-scale biological datasets. Strong programming skills in key bioinformatics languages, e.g., R, Python, etc., with proven capabilities to manipulate large and sophisticated datasets. more »
internal data structures, representations and ontologies across a wide variety of life science and medical research datasets, including chemical structures, SAR, reactions, molecular dynamics, -omics, imaging, and clinical data.Lead data curation and data quality assurance processes and ensuring that the company’s data is adequately integrated and usable for machine … binding, ADME, cytotoxicity, and phenotypic assays, NGS, immunohistochemistry, RNA-seq, cell-based assays.Experience with a variety of life science data types and ontologies including -omics, imaging, and clinical data, representations of biomolecules and chemical reactions, Gene Ontology, Disease Ontology, SNOMED, CHEMINFExperience working with external life science databases and biobanks such more »
in a range of programming languages such as Python or R understanding of starting principles in statistics, data mining and visualisation of biological data (omics, NGS, and assay data) in integrative analysis of multiple omic data types including advanced statistical, machine learning and deep learning methods (large language models would … Data, Bioinformatics, Programming, R, Python, Statistical, Data Mining, Data Visualisation, HPC Unix, Cloud-based, Computational, Deep Learning, Machine Learning, Biological, Biopharma, Biopharmaceutical, Drug Discovery, Omics, Poly-Omics, Target ID, Target Validation, Biomarker Discovery, Oxford, Hertfordshire, Wiltshire, Berkshire, Oxford, Reading, London, Slough, VRS8706MF more »
