21 of 21 Permanent Omics Jobs in the UK

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 ❯

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 ❯

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 ❯

Data Governance Lead Location: Hybrid (London or Remote, UK-based preferred) Team: Data & Scientific Computing Type: Full-time, Individual Contributor The Opportunity We’re looking for a Data Governance Lead to scale our internal data governance practice. You will work More ❯

Data Governance Lead Location: Hybrid (London or Remote, UK-based preferred) Team: Data & Scientific Computing Type: Full-time, Individual Contributor The Opportunity We’re looking for a Data Governance Lead to scale our internal data governance practice. You will work More ❯

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 ❯

growth and development in our team members. Responsibilities: Use machine learning toolkits to augment target and biomarker discovery efforts Use computer vision and deep learning methods to integrate multi-omics data in order to link them to disease phenotypes Work with knowledge graphs to improve discovery of novel disease mechanisms Advance the use of natural language processing (NLP) tools to More ❯

R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory More ❯

R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory 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 More ❯

Comfortable building performant software in C/C++, working across Linux or Windows environments depending on the application Strong understanding of relational database design, particularly using MySQL Familiar with omics data processing pipelines, ideally proteomics Exposure to biomarker discovery workflows, experimental design, or LC-MS/MS data Confident working across scientific and technical teams, with clear communication and collaborative 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 ❯

across R&ED and Development to maximize RWE impact. Oversee the design and execution of analyses on multimodal RWD (e.g., clinical, imaging, EMRs,claims) and integration with evidence from omics human data to drive insights for disease understanding and drug development. Stay ahead of emerging trends, establish external partnerships, and clearly communicate insights to senior leadership and external stakeholders. You 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 ❯

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 ❯

in the different themes within CG-TIC to develop project-specific analysis plans.- Applying a range of analytical techniques to bulk and single cell data and to integrative multi-omics datasets.- Developing existing and novel techniques, including machine learning.- Opportunities to collaborate with researchers in the Cambridge Centre for Artificial Intelligence in Medicine.- Working with partners at GSK, sharing approaches … qualification.- Experience of processing and analysing large biological datasets.- Expertise in programming using at least one of R or Python.- Experience in single cell data analyses and integrative multi-omics approaches is strongly desired.- A background in immunology and experience working with clinical trial data would be very useful.- Excellent organisational skills: able to function independently, but with a strong More ❯

omic data at scale. Specifically this team is responsible for the end-to-end processing of samples, including histology, cell sorting, extraction of genetic material and preparation for downstream omics analysis. The role includes oversight of lab operations, defining processes that enable consistent quality, instilling a collaborative, excellence-focused culture where the status quo is constantly pressure tested. We are … an excellent track record of operating and scaling high-throughput labs 3+ years of experience hiring, leading and developing teams of 10+ scientists Expertise in performing genomics and other omics experiments at scale, using automation equipment Experience defining weekly schedules for complex, multi-project and multi-person lab operations Knowledge of health & safety best practices, enabling a safe working environment More ❯

Cancer Research UK Manchester Institute - Computational Immunologist Job Title: Computational Immunologist Category: Other Closing Date: 31/08/2025 Computational Immunologist Salary in the range of£31,000 - £37,000 (dependent upon experience) Job Ref: MI/25/ More ❯