The role involves designing, building, and validating programmable nucleic-acid systems for genetic privacy. The postholder will work on developing molecular systems that can measure genetic information while limiting exposure of the underlying genomic sequence, engaging in iterative experimental and computational work.
This role involves leading the development and validation of advanced molecular assays—including RT-qPCR, dPCR, and NGS-based methods—for clinical biomarker programs at Moderna. The scientist will drive end-to-end assay lifecycle management, ensure compliance with GCLP and regulatory standards, and collaborate across multidisciplinary teams to generate high-quality genomic data. A key focus is integrating genomics, bioinformatics, and clinical insights to support drug development and inform future pipeline strategies.
A Senior Computational Biologist will drive target discovery in immunology and inflammatory diseases by integrating multi-omics data (phenomics, transcriptomics, genomics, proteomics) to nominate and validate novel therapeutic targets. The role involves developing computational methods, collaborating with cross-functional teams, and translating complex analyses into actionable drug discovery programs using Recursion’s AI-driven platform.
Drive target discovery and validation in precision oncology by integrating multimodal biological data (phenomics, transcriptomics, genomics, proteomics) to identify novel therapeutic targets. Collaborate with cross-functional teams to develop scalable computational methods and build compelling data packages that advance drug programs. Develop criteria for target nomination and support early translational strategies using AI-powered platforms.
This role involves developing and executing biochemical and molecular biology assays to support pharmacokinetic/pharmacodynamic analysis. Responsibilities include assay development, data analysis, and collaboration with external partners, while staying current with scientific literature and regulatory guidelines.
This role involves researching the emergence of a multidrug-resistant fungal pathogen, Trichophyton indotineae, at the intersection of genomics, antimicrobial resistance, and molecular diagnostics. You will work in a multidisciplinary team to develop new diagnostic tools and contribute to clinical and public health efforts in East London.
This role involves conducting advanced immunological research on vaccine responses, using techniques like flow cytometry, cell culture, and single-cell RNA sequencing. You will work independently, manage data, and train junior team members in a leading research group.
This role involves developing an independent, externally funded research programme in AI and One Health Biomedical Data Sciences, collaborating with researchers across disciplines, and contributing to teaching at undergraduate and postgraduate levels. The focus is on addressing major health challenges using AI and data science, with opportunities to work with NHS organisations and industry partners.
This role involves developing and implementing bioinformatics algorithms to analyse genomic and transcriptomic data from complex plant genomes. The bioinformatician will translate biological research questions into computational analyses, apply machine learning to predict phenotypic outcomes, and collaborate closely with engineering and research teams to integrate tools into scalable pipelines. The position is embedded within a multidisciplinary plant science institute focused on global food security and sustainability.
This role involves developing and refining bioinformatics workflows to analyse whole genome and metagenomic sequencing data for infectious disease diagnostics. The bioinformatician will work closely with wet lab scientists to interpret complex datasets, focusing on taxonomic classification, antimicrobial resistance prediction, and strain characterisation. The position supports a translational research initiative aiming to deploy scalable diagnostic tools globally.
A Senior Bioinformatics Scientist will define data requirements for AI models, design biologically sound datasets and evaluations, and ensure data integrity in training foundational genomic models. The role involves close collaboration with deep learning and engineering teams to validate model performance and biological relevance. Work focuses on sequence analysis, annotation, and evolutionary-scale data interpretation to support therapeutic discovery.
This role involves transforming large-scale, complex biological data—primarily microbiomes—into annotated, model-ready resources for AI-driven discovery. The scientist will develop novel methods to analyse non-standard genomic data, ensure data integrity, and contribute to tools that guide global biodiversity sampling. Work spans prokaryotes and eukaryotes, with a focus on innovation where traditional tools fall short.
This role involves designing, developing, and deploying advanced AI solutions, with a focus on Large Language Models (LLMs) and Generative AI. You will work closely with data scientists and engineers to scale complex models, optimize training and inference pipelines, and leverage cloud ecosystems for biomedical applications.
The Regulatory Affairs Manager will lead day-to-day regulatory activities, maintaining and developing technical documentation for existing and future medical devices and IVD products. You'll support UKCA and CE marking, regulatory strategies, and collaborate with scientific, data, and technical teams to ensure compliance throughout product development.
This industrial placement at GSK offers a range of roles in biological and biomedical sciences, providing hands-on experience in cutting-edge research and development. You will work on real projects, develop technical skills, and gain insights into the drug discovery and development process, with opportunities for flexible or on-site working.
