17 of 17 Omics Jobs in England

JOB SUMMARY Iambic Therapeutics is seeking a machine learning scientist to extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding … experimental design and the interactions among diverse molecular modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire multi-omics datasets. Build, maintain, and document data pipelines that ingest, quality control, and harmonize large multi omics datasets from public and proprietary sources. Design schemes for pretraining and finetuning Enchant on … multi-omics data. Define benchmarks for target selection and biomarker tasks; source or assemble reference datasets to measure progress. Apply causal inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs. Write high quality, tested code and deploy models across multi GPU or HPC environments; monitor performance and iterate. Stay current with advances in machine learning and More ❯

To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to … across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for Cambridge, UK : - Scientist I, Data Science : £64,600 - £87,400 Senior Scientist I, Data Science : £88,000 - £132,000 Exact compensation may vary More ❯

at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle … discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and … integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement computational workflows for analysing multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Design statistical models for analysing transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams More ❯

is yielding important insights into cancer, ageing, and neurological disease, and is poised to revolutionise how we understand health and disease beyond canonical variation in DNA. biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. Our team is dedicated to developing the most advanced solutions More ❯

is yielding important insights into cancer, ageing, and neurological disease, and is poised to revolutionise how we understand health and disease beyond canonical variation in DNA. biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. Our team is dedicated to developing the most advanced solutions More ❯

at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to … discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is a unique opportunity for a data scientist to work on multi-omics and perturbational data to drive transformative insights into drug discovery. As a member of the Single Cell and Spatial Omics team, and embedded within one of the ML research teams … domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation tasks for ML models. Collaborate closely with ML More ❯

rolling out GUI-based bioinformatic tools facilitating experimental design and analyses. Proven ability to communicate complex bioinformatic concepts to stakeholders and multidisciplinary teams. General expertise in analyzing and interpreting omics and other biological data sets using statistical and visualization approaches. Good organizational skills, including time management, ability to set priorities and adhere to deadlines. Strong attention to detail and problem More ❯

and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be More ❯

techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery, and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML models into production-grade pipelines, APIs More ❯

reliability. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯

diseases pose a unique challenge due to limited patient data-especially at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets … Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the wider rare disease and biocuration community. You will … be primarily supervised by the Petsalaki group (Whole cell sigalling) and the Sheriff team (Biomodels). The Petsalaki group develops data driven network inference and modelling approaches from large omics datasets and the Sheriff team leads the development of innovative modelling approaches and maintenance of the Biomodels database. Key responsibilities include: - Generation of phenotype-specific networks from bulk-RNAseq and More ❯

genomics. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯

that clearly describes the required processing steps to generate analysis-ready datasets ensuring providence, lineage and privacy requirements is maintained. Integrate diverse datasets (e.g., clinical trials, real-world data, omics) into a unified format for consistent analysis. Ensure all datasets meet analysis-ready and privacy requirements by performing necessary data curation activities (e.g. pre-process, contextualise and/or anonymise … in Computer Science, Mathematics, Statistics, or related subject Proven experience of handling various modalities of scientific clinical data such as clinical trial data (including biomarkers), real world data (RWD), omics etc. Proven ability to handle and process large structured, semi-structured, and unstructured datasets efficiently Expertise to translate business needs into technical data requirements and processes. Proven ability to quantify More ❯

at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to More ❯

at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. This year, we’ve embarked on an exciting double collaboration with GSK to More ❯

real clinical and research impact. Role focus - Foundation Models for Biology You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Implement high-performance ML algorithms optimised for massive-scale … impact. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯

real clinical and research impact. Role focus - Foundation Models for Biology You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Implement high-performance ML algorithms optimised for massive-scale … impact. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯